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When Buildability Breaks: What Prince William and New York Signal for Data Center Development

For several years, the Prince William Digital Gateway represented data center ambition at its largest scale: a proposed 2,100-acre technology corridor near Gainesville, Virginia, capable of accommodating tens of millions of square feet of digital infrastructure. Its location also made it uniquely contentious. The corridor bordered Manassas National Battlefield Park and other historic, environmental and residential resources, drawing the data center development debate beyond its usual industry and land-use constituencies. Opposition increasingly centered not only on the project’s scale, but on whether development of that magnitude belonged alongside one of the country’s most significant Civil War landscapes. In July 2026, that vision effectively ended. QTS Data Centers terminated its participation in the Digital Gateway and withdrew its remaining petitions before the Supreme Court of Virginia. The decision followed Compass Datacenters’ withdrawal in April, leaving neither of the project’s original developers pursuing the corridor. QTS said it reached the decision after “careful consideration,” while emphasizing that Virginia remains an important market for the company. From Proposed Capacity to Executable Capacity The collapse of the Digital Gateway is more than the cancellation of one unusually large development. It comes as the data center industry confronts a widening gap between announced capacity and executable capacity. Power remains the most visible constraint. But permitting discipline, environmental review, community acceptance and the durability of political support are increasingly determining whether a project can progress from land control and conceptual capacity to construction and operation. A separate development in New York underscored that shift less than two weeks after QTS withdrew. On July 14, Gov. Kathy Hochul issued Executive Order 62, establishing what the state describes as the nation’s first statewide moratorium on new hyperscale data centers. The order temporarily holds in abeyance certain incomplete state environmental permit applications for data centers capable of drawing at

Read More »

Google has started selling TPUs, but still keeps most for itself

Ashkenazi did not name the customers or describe the commercial arrangements, leaving open questions about whether the systems are being deployed by large enterprises, governments, sovereign AI initiatives, or other cloud providers. Until recently, Google’s TPU strategy centered on giving customers access to the chips through Google Cloud, while using the same silicon internally to power its own AI models and services. But during the company’s last earnings call in April, just days after it released two new TPU models, CEO Sundar Pichai said Google would consider selling TPUs to AI labs, capital markets firms, and high-performance computing applications. On Wednesday’s call, Pichai said Google will scale up TPU sales “based on the opportunities we see and the demand we see, commensurate with the constraints that exist and the allocation needs we have for frontier model development.”

Read More »

Supercooled kidneys have been transplanted into pigs in a “landmark achievement”

EXECUTIVE SUMMARY When it comes to organ donation, time is everything. As soon as an organ has been carefully removed from a donor’s body, it starts to deteriorate. Surgeons have a matter of hours to get it into a recipient. Leave it too long and the organ will become unusable. In most cases, organs will be kept on ice during that time, at around 4 °C (39 °F). They cannot be frozen—in previous attempts, ice has formed, causing all kinds of damage. Matthew Powell Palm at Texas A&M University and his colleagues have an alternative solution—a device that allows organs to be cooled to -4 °C (25 °F) without forming any ice. Now, in new research with pig organs, his team has shown that kidneys, at least, can be supercooled and preserved in the device for days. Once rewarmed, the organs have been successfully transplanted into animals, and they seem to do better than organs kept on ice.
The work represents “a landmark achievement,” says Kevin Myer, president and CEO of LifeGift, an organ procurement organization based in Texas, who was not involved in the research. Cooling organs Powell Palm hopes this approach could ultimately help ease the organ shortage crisis. Today, there are more than 104,000 people waiting for a kidney transplant in the US alone. It is estimated that 17 people die every day in the US while waiting for a transplant. That’s partly due to a lack of donated kidneys, but it’s also because many of those that are available never make it to a recipient. In some years, around one in three donated kidneys end up being discarded, often because they end up too degraded to use by the time they reach a recipient. Kidneys can be stored on ice for around 24 hours or placed in devices that aim to mimic the conditions of the body, also for up to around 24 hours. That’s not always long enough to find a suitable recipient and transport the organ, says Myer.
Scientists around the world have been working on ways to store organs for longer by cooling them to even chillier temperatures. Cooling an organ slows its metabolism—the colder you go, the greater the effect, and the longer you can store it. We’ve long been able to successfully cryopreserve eggs, sperm, and embryos, but it’s much harder to freeze large organs. Teams have been exploring various temperatures and cryoprotectants (chemicals that essentially work like antifreeze), but so far no one has been able to freeze human organs for transplantation.   As a thermodynamicist, Powell Palm explored another approach. By keeping an organ submerged at a constant pressure, it should be possible to prevent the formation of ice at temperatures a little below 0 °C, without the need for cryoprotectants (which might have side effects and would need to be approved before being used in human transplants).  To test this theory, Powell Palm and his colleagues have created a device that does just that. The device itself is essentially a hermetically sealed chamber with a transparent lid. At its base is a device that monitors the organ’s temperature and checks for the formation of ice. Organs are submerged in a solution that is already commonly used to preserve them for transplant. “I always describe this as low-tech high science,” says Powell Palm. “A lot of work has gone into understanding the … kinetics at play in this system, but ultimately … it’s quite simple.” Supercooled kidneys To test their device, Powell Palm and his colleagues first removed single kidneys from pigs. The organs were flushed with the same commonly used solution to remove the blood, just as transplant organs are. The team then kept some kidneys on ice for either two hours or 24 hours, to mimic standard conditions used in human transplantation. They also put some of the removed kidneys in their device for 24, 48, or 72 hours. The stored kidneys were then each transplanted back into the original donor pigs. Each pig’s second kidney was removed in the same procedure, leaving each animal with only the kidney that had been stored, and reimplanted. Once the 24-hour supercooled kidneys were transplanted, they immediately began producing urine—a key indication that they were working. The team members also measured other markers of kidney function and found that the organs appeared to be working normally within about 10 days of being transplanted. A kidney that was supercooled for 72 hours recovers once it is transplanted back into a pig.COURTESY RONALD SELLERS, POWELL-PALM LAB, TEXAS A&M UNIVERSITY That’s slower than kidneys stored on ice for two hours but much quicker than kidneys kept on ice for 24 hours, says Powell Palm.

The organs that were kept supercooled for 48 and 72 hours performed similarly, he says. “Even at three days—triple the clinical standard—we’re getting recovery that is faster than … [what has been] the gold standard for the last three decades,” he says. “So we’re really, really pumped about this.” “It is impressive,” says Heidi Yeh, a transplant surgeon at Mass General Brigham for Children, who also researches organ preservation technologies. “Often kidneys that have been stored for 48 hours [in other studies] take a week or two before they start working again.” Organs that grow The supercooled organs seem to work well in the long term, too. Over a 30-day period, the pigs grew by around 30%—and the kidneys grew with them, almost doubling in size to compensate for both the pigs’ growth and the lack of a second kidney. The team monitored one of the pigs for 200 days before removing and analyzing its kidney. Even at that point the organ looked healthy, says Powell Palm. He and his colleagues presented the findings at the American Transplant Congress in Boston last month. Earlier this year, researchers in Canada showed they could also cool pig kidneys to below-zero temperatures and transplant them into pigs. The team’s protocol included the use of a cryoprotectant, and organs were stored for up to 48 hours before being transplanted into pigs. Those organs survived for a week. In supercooling organs for 72 hours and showing that they do well for 30 days or more, Powell Palm and his colleagues have broken new ground. “It’s the first time this has ever been reported in history,” he says. Those extra hours could make all the difference, says Myer of LifeGift. The advance could give doctors more time to evaluate the kidneys, match them to the most suitable donors, and physically get the organs to their intended recipients in time. It could enable international donations and open up cheaper transport options, he adds. “Right now, with kidney transplantation the assumed limit is 18 to 24 hours,” he says. “If we can get up to 72 hours … that would change everything.” Powell Palm and his colleagues think they may even be able to go beyond 72 hours. In preliminary studies, organs that had been stored for up to 120 hours appeared healthy, although those organs have not yet been transplanted. And because the process doesn’t require any cryoprotective chemicals, the team members are hoping for an accelerated approval from the US Food and Drug Administration, which would allow them to test the device in human transplantations. The storage device is simple and compact, so Powell Palm thinks it will be easy to transport. It hasn’t been tested for air travel yet, but it has been used to take supercooled kidneys across the US in the back of a Kia Sorento, he says: “From a stability perspective, we view this as an even higher bar.” Powell Palm and his colleague Sebastian Giwa plan to launch a company dedicated to developing the technology, along with other protocols that “stop biological time,” in the coming months, he says.

Read More »

Linux XFS has a decade-old race condition allowing full root access

Affected Linux distributions include RHEL 8,9 and 10, CentOS Stream 8,9, and 10, Oracle Linux 8,9,10, Rocky and AlmaLinux 8,9, and 10, CloudLinux 8,9, and 10, Amazon Linux 2023 and Amazon Linux 2 AMIs from December 2022 onward, Fedora Server 31+, and Debian, Ubuntu and SUSE installations where XFS was manually selected. Usual kernel hardening practices, including memory protection features like Kernel Address Space Layout Randomization (KASLR), Supervisor Mode Access Prevention (SMAP), and Supervisor Mode Execution Prevention (SMEP), are ineffective as they are all aimed at different attack surfaces. Even a kernel lockdown does nothing to stop the affected path, Qualys noted. “SELinux doesn’t block the affected path in testing, and seccomp profiles are no barrier as long as they permit write and ioctl, which ordinary profiles do,” Abbasi explained. Immediate kernel patching and a full reboot are the only reliable mitigations, he added.

Read More »

Federal quantum bet grows with DARPA’s $125 million PsiQuantum award

Defense research agency DARPA made its largest quantum computing award ever this week, with a $125 million agreement announced on Wednesday. The same day, the White House announced an additional $5 billion for the Genesis Mission, which focuses on AI for science but also includes technology to accelerate quantum computing and quantum sensors. “Taken together, these announcements signal that U.S. quantum strategy is shifting from supporting individual research projects to building the infrastructure needed for a quantum-enabled economy,” says Heather West, research manager in the infrastructure systems, platforms, and technology group at IDC. None of the individual quantum announcements are surprising, she says. But the level of coordination is new. “Government investment is expanding beyond foundational research toward commercialization, manufacturing, and deployment,” she says.

Read More »

IBM keen on mainframe even after 42% revenue drop in Q2

In a July 14 letter to investors released prior to IBM’s July 22 earnings call, CEO Arvind Krishna warned of the earnings shortfall and laid out current challenges. He related the infrastructure performance shortfall to “wrapping on the launch of z17 in the second quarter” and stated: “Given this was the strongest start to a mainframe program in our history, we expected Infrastructure revenue to decline low-single digits for the year, beginning this quarter. What played out was worse than our expectations, driven by a shortfall in our Z performance and the associated software stack, primarily in Transaction Processing.” In the last few weeks of June, customers shifted capex spending and started purchasing more AI infrastructure components in the form of servers, storage, and memory “to secure supply-constrained infrastructure ahead of expected price increases,” Krishna stated. “This dynamic impacted client buying patterns. While we anticipated some supply chain related impact in our expectations, we did not anticipate the magnitude of the capex reprioritization.” Yet despite challenges this last quarter, z17 remains at nearly 130% growth program-to-program, according to IBM. That’s “well ahead of z16, which was our strongest program on record, with clients representing 85% of installed MIPs maintaining or growing capacity,” the July 14 letter stated.

Read More »

When Buildability Breaks: What Prince William and New York Signal for Data Center Development

For several years, the Prince William Digital Gateway represented data center ambition at its largest scale: a proposed 2,100-acre technology corridor near Gainesville, Virginia, capable of accommodating tens of millions of square feet of digital infrastructure. Its location also made it uniquely contentious. The corridor bordered Manassas National Battlefield Park and other historic, environmental and residential resources, drawing the data center development debate beyond its usual industry and land-use constituencies. Opposition increasingly centered not only on the project’s scale, but on whether development of that magnitude belonged alongside one of the country’s most significant Civil War landscapes. In July 2026, that vision effectively ended. QTS Data Centers terminated its participation in the Digital Gateway and withdrew its remaining petitions before the Supreme Court of Virginia. The decision followed Compass Datacenters’ withdrawal in April, leaving neither of the project’s original developers pursuing the corridor. QTS said it reached the decision after “careful consideration,” while emphasizing that Virginia remains an important market for the company. From Proposed Capacity to Executable Capacity The collapse of the Digital Gateway is more than the cancellation of one unusually large development. It comes as the data center industry confronts a widening gap between announced capacity and executable capacity. Power remains the most visible constraint. But permitting discipline, environmental review, community acceptance and the durability of political support are increasingly determining whether a project can progress from land control and conceptual capacity to construction and operation. A separate development in New York underscored that shift less than two weeks after QTS withdrew. On July 14, Gov. Kathy Hochul issued Executive Order 62, establishing what the state describes as the nation’s first statewide moratorium on new hyperscale data centers. The order temporarily holds in abeyance certain incomplete state environmental permit applications for data centers capable of drawing at

Read More »

Google has started selling TPUs, but still keeps most for itself

Ashkenazi did not name the customers or describe the commercial arrangements, leaving open questions about whether the systems are being deployed by large enterprises, governments, sovereign AI initiatives, or other cloud providers. Until recently, Google’s TPU strategy centered on giving customers access to the chips through Google Cloud, while using the same silicon internally to power its own AI models and services. But during the company’s last earnings call in April, just days after it released two new TPU models, CEO Sundar Pichai said Google would consider selling TPUs to AI labs, capital markets firms, and high-performance computing applications. On Wednesday’s call, Pichai said Google will scale up TPU sales “based on the opportunities we see and the demand we see, commensurate with the constraints that exist and the allocation needs we have for frontier model development.”

Read More »

Supercooled kidneys have been transplanted into pigs in a “landmark achievement”

EXECUTIVE SUMMARY When it comes to organ donation, time is everything. As soon as an organ has been carefully removed from a donor’s body, it starts to deteriorate. Surgeons have a matter of hours to get it into a recipient. Leave it too long and the organ will become unusable. In most cases, organs will be kept on ice during that time, at around 4 °C (39 °F). They cannot be frozen—in previous attempts, ice has formed, causing all kinds of damage. Matthew Powell Palm at Texas A&M University and his colleagues have an alternative solution—a device that allows organs to be cooled to -4 °C (25 °F) without forming any ice. Now, in new research with pig organs, his team has shown that kidneys, at least, can be supercooled and preserved in the device for days. Once rewarmed, the organs have been successfully transplanted into animals, and they seem to do better than organs kept on ice.
The work represents “a landmark achievement,” says Kevin Myer, president and CEO of LifeGift, an organ procurement organization based in Texas, who was not involved in the research. Cooling organs Powell Palm hopes this approach could ultimately help ease the organ shortage crisis. Today, there are more than 104,000 people waiting for a kidney transplant in the US alone. It is estimated that 17 people die every day in the US while waiting for a transplant. That’s partly due to a lack of donated kidneys, but it’s also because many of those that are available never make it to a recipient. In some years, around one in three donated kidneys end up being discarded, often because they end up too degraded to use by the time they reach a recipient. Kidneys can be stored on ice for around 24 hours or placed in devices that aim to mimic the conditions of the body, also for up to around 24 hours. That’s not always long enough to find a suitable recipient and transport the organ, says Myer.
Scientists around the world have been working on ways to store organs for longer by cooling them to even chillier temperatures. Cooling an organ slows its metabolism—the colder you go, the greater the effect, and the longer you can store it. We’ve long been able to successfully cryopreserve eggs, sperm, and embryos, but it’s much harder to freeze large organs. Teams have been exploring various temperatures and cryoprotectants (chemicals that essentially work like antifreeze), but so far no one has been able to freeze human organs for transplantation.   As a thermodynamicist, Powell Palm explored another approach. By keeping an organ submerged at a constant pressure, it should be possible to prevent the formation of ice at temperatures a little below 0 °C, without the need for cryoprotectants (which might have side effects and would need to be approved before being used in human transplants).  To test this theory, Powell Palm and his colleagues have created a device that does just that. The device itself is essentially a hermetically sealed chamber with a transparent lid. At its base is a device that monitors the organ’s temperature and checks for the formation of ice. Organs are submerged in a solution that is already commonly used to preserve them for transplant. “I always describe this as low-tech high science,” says Powell Palm. “A lot of work has gone into understanding the … kinetics at play in this system, but ultimately … it’s quite simple.” Supercooled kidneys To test their device, Powell Palm and his colleagues first removed single kidneys from pigs. The organs were flushed with the same commonly used solution to remove the blood, just as transplant organs are. The team then kept some kidneys on ice for either two hours or 24 hours, to mimic standard conditions used in human transplantation. They also put some of the removed kidneys in their device for 24, 48, or 72 hours. The stored kidneys were then each transplanted back into the original donor pigs. Each pig’s second kidney was removed in the same procedure, leaving each animal with only the kidney that had been stored, and reimplanted. Once the 24-hour supercooled kidneys were transplanted, they immediately began producing urine—a key indication that they were working. The team members also measured other markers of kidney function and found that the organs appeared to be working normally within about 10 days of being transplanted. A kidney that was supercooled for 72 hours recovers once it is transplanted back into a pig.COURTESY RONALD SELLERS, POWELL-PALM LAB, TEXAS A&M UNIVERSITY That’s slower than kidneys stored on ice for two hours but much quicker than kidneys kept on ice for 24 hours, says Powell Palm.

The organs that were kept supercooled for 48 and 72 hours performed similarly, he says. “Even at three days—triple the clinical standard—we’re getting recovery that is faster than … [what has been] the gold standard for the last three decades,” he says. “So we’re really, really pumped about this.” “It is impressive,” says Heidi Yeh, a transplant surgeon at Mass General Brigham for Children, who also researches organ preservation technologies. “Often kidneys that have been stored for 48 hours [in other studies] take a week or two before they start working again.” Organs that grow The supercooled organs seem to work well in the long term, too. Over a 30-day period, the pigs grew by around 30%—and the kidneys grew with them, almost doubling in size to compensate for both the pigs’ growth and the lack of a second kidney. The team monitored one of the pigs for 200 days before removing and analyzing its kidney. Even at that point the organ looked healthy, says Powell Palm. He and his colleagues presented the findings at the American Transplant Congress in Boston last month. Earlier this year, researchers in Canada showed they could also cool pig kidneys to below-zero temperatures and transplant them into pigs. The team’s protocol included the use of a cryoprotectant, and organs were stored for up to 48 hours before being transplanted into pigs. Those organs survived for a week. In supercooling organs for 72 hours and showing that they do well for 30 days or more, Powell Palm and his colleagues have broken new ground. “It’s the first time this has ever been reported in history,” he says. Those extra hours could make all the difference, says Myer of LifeGift. The advance could give doctors more time to evaluate the kidneys, match them to the most suitable donors, and physically get the organs to their intended recipients in time. It could enable international donations and open up cheaper transport options, he adds. “Right now, with kidney transplantation the assumed limit is 18 to 24 hours,” he says. “If we can get up to 72 hours … that would change everything.” Powell Palm and his colleagues think they may even be able to go beyond 72 hours. In preliminary studies, organs that had been stored for up to 120 hours appeared healthy, although those organs have not yet been transplanted. And because the process doesn’t require any cryoprotective chemicals, the team members are hoping for an accelerated approval from the US Food and Drug Administration, which would allow them to test the device in human transplantations. The storage device is simple and compact, so Powell Palm thinks it will be easy to transport. It hasn’t been tested for air travel yet, but it has been used to take supercooled kidneys across the US in the back of a Kia Sorento, he says: “From a stability perspective, we view this as an even higher bar.” Powell Palm and his colleague Sebastian Giwa plan to launch a company dedicated to developing the technology, along with other protocols that “stop biological time,” in the coming months, he says.

Read More »

Linux XFS has a decade-old race condition allowing full root access

Affected Linux distributions include RHEL 8,9 and 10, CentOS Stream 8,9, and 10, Oracle Linux 8,9,10, Rocky and AlmaLinux 8,9, and 10, CloudLinux 8,9, and 10, Amazon Linux 2023 and Amazon Linux 2 AMIs from December 2022 onward, Fedora Server 31+, and Debian, Ubuntu and SUSE installations where XFS was manually selected. Usual kernel hardening practices, including memory protection features like Kernel Address Space Layout Randomization (KASLR), Supervisor Mode Access Prevention (SMAP), and Supervisor Mode Execution Prevention (SMEP), are ineffective as they are all aimed at different attack surfaces. Even a kernel lockdown does nothing to stop the affected path, Qualys noted. “SELinux doesn’t block the affected path in testing, and seccomp profiles are no barrier as long as they permit write and ioctl, which ordinary profiles do,” Abbasi explained. Immediate kernel patching and a full reboot are the only reliable mitigations, he added.

Read More »

Federal quantum bet grows with DARPA’s $125 million PsiQuantum award

Defense research agency DARPA made its largest quantum computing award ever this week, with a $125 million agreement announced on Wednesday. The same day, the White House announced an additional $5 billion for the Genesis Mission, which focuses on AI for science but also includes technology to accelerate quantum computing and quantum sensors. “Taken together, these announcements signal that U.S. quantum strategy is shifting from supporting individual research projects to building the infrastructure needed for a quantum-enabled economy,” says Heather West, research manager in the infrastructure systems, platforms, and technology group at IDC. None of the individual quantum announcements are surprising, she says. But the level of coordination is new. “Government investment is expanding beyond foundational research toward commercialization, manufacturing, and deployment,” she says.

Read More »

IBM keen on mainframe even after 42% revenue drop in Q2

In a July 14 letter to investors released prior to IBM’s July 22 earnings call, CEO Arvind Krishna warned of the earnings shortfall and laid out current challenges. He related the infrastructure performance shortfall to “wrapping on the launch of z17 in the second quarter” and stated: “Given this was the strongest start to a mainframe program in our history, we expected Infrastructure revenue to decline low-single digits for the year, beginning this quarter. What played out was worse than our expectations, driven by a shortfall in our Z performance and the associated software stack, primarily in Transaction Processing.” In the last few weeks of June, customers shifted capex spending and started purchasing more AI infrastructure components in the form of servers, storage, and memory “to secure supply-constrained infrastructure ahead of expected price increases,” Krishna stated. “This dynamic impacted client buying patterns. While we anticipated some supply chain related impact in our expectations, we did not anticipate the magnitude of the capex reprioritization.” Yet despite challenges this last quarter, z17 remains at nearly 130% growth program-to-program, according to IBM. That’s “well ahead of z16, which was our strongest program on record, with clients representing 85% of installed MIPs maintaining or growing capacity,” the July 14 letter stated.

Read More »

Beyond AI Pilots: Scaling AI-Enabled Decision Making in Energy

Date: Thursday, August 6, 2026Time: 11:00 AM (GMT-04:00) Eastern Time – New YorkDuration: 60 minutes Already registered? Click here to log in now. Artificial Intelligence is rapidly becoming a strategic priority across industrial organizations, yet many companies continue to struggle with fragmented data, disconnected workflows, and AI initiatives that never move beyond pilot projects. The challenge is not access to AI—it is creating the business context, governance, and lifecycle intelligence needed to transform AI insights into measurable operational outcomes. Join Siemens Digital Industries Software to learn how Intelligence Center X, part of the Siemens Xcelerator portfolio, helps organizations connect enterprise data, workflows, and AI capabilities into a single governed environment where people and AI work together to drive faster, more informed decisions. In this session, we’ll explore how organizations can: • Move beyond isolated AI experiments to enterprise-scale deployment • Connect engineering, manufacturing, operations, supply chain, and service data into a unified intelligence framework • Enable AI agents to operate within governed, human-in-the-loop business processes • Improve operational performance through AI-assisted decision-making • Accelerate issue resolution, reduce manual effort, and increase organizational agility Attendees will also learn how Intelligence Center X combines lifecycle intelligence, industrial data models, AI orchestration, and low-code application development to create production-ready AI solutions that deliver measurable business value. Real-world examples will demonstrate how organizations have achieved significant improvements, including reductions in manual effort, faster issue resolution, improved data quality, and enhanced decision-making capabilities. Whether you are responsible for digital transformation, operations, manufacturing, engineering, or executive strategy, this webinar will provide practical insight into building a scalable foundation for industrial AI and creating a future where people and AI work together to drive business outcomes.

Read More »

TotalEnergies lets drilling, completions contract for Suriname deepwater oil project

TotalEnergies has let contracts to Halliburton for work on the GranMorgu deepwater oil development project offshore Suriname. The workscope includes drilling and completions services for a long-term program that includes applying integrated digital workflows, real time data, and remote operations control for drilling and completions. As part of the project scope, Halliburton worked with local suppliers to upgrade its liquid mud and cement plant and supported construction of Suriname’s first completions and drilling workshop, featuring advanced maintenance and repair capabilities, the service provider said in a release July 13. The aim of the GranMorgu project is to develop resources on Block 58, which lies about 150 km off the Surinamese coast. Specifically, Sapakara and Krabdagu fields, which contain estimated recoverable reserves of nearly 760 million bbl, TotalEnergies noted on its website. The project’s floating production, storage, and offloading unit (FPSO), with a capacity of 220,000 b/d, is based on tested design principles of units in nearby Guyana and designed for potential future tie-in of satellite fields. Production start-up is expected in 2028. TotalEnergies is operator of the project with 40% interest. Partners are APA Corp. (40%) and state-owned Staatsolie Maatschappij Suriname NV (20%).

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Aramco lets stimulation, completion services contract for unconventional gas development

Saudi Aramco has awarded Halliburton a multi-year contract to provide stimulation and completion services for the company’s unconventional gas development program in Saudi Arabia. Halliburton said July 15 that the award is part of a broader multibillion-dollar contract framework supporting the Kingdom’s unconventional resource expansion. Under the agreement, Halliburton will deploy intelligent fracturing automation technologies designed to optimize treatment performance in real time and support execution across multiwell development campaigns. The company said the technologies will enable greater digital integration across field operations. Development of the Jafurah unconventional gas field, the Middle East’s largest liquids-rich shale gas play, is under way. In support of the program, Halliburton plans to expand local manufacturing capacity, strengthen its supply chain network, and increase workforce development initiatives within the Kingdom as activity levels continue to grow. “Beginning in the third quarter of 2026, Halliburton will deploy the Kingdom’s first fully integrated intelligent fracturing platform through OCTIV® Auto Frac and Sensori™ fracturing monitoring services to contribute to asset value for one of the world’s largest unconventional fields,” said Rami Yassine, senior vice-president, Eastern Hemisphere, Halliburton. Jafurah background Jafurah is a key component of Aramco’s gas expansion strategy intended to help meet rising demand for natural gas in power generation and industry. In February 2026, the operator said it seeks to expand sales gas production capacity by about 80% by 2030 compared with 2021 production levels. At the time, Aramco said unconventional shale gas output from Jafurah began in December 2025. The field covers about 17,000 sq km and is estimated to contain 229 tcf of raw gas and 75 billion stb of condensate. Aramco expects the development to produce 2 bcfd of sales gas, 420 MMscfd of ethane, and about 630,000 b/d of high-value liquids by 2030.

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Digitalization paying off for Rompetrol’s Petromidia refinery

Rompetrol Rafinare SA—jointly owned by Kazakhstan’s state-owned JSC NC KazMunayGas (KMG) subsidiary KMG International NV (54.63%) and Romania’s Ministry of Economy, Energy & Business Environment (44.7%)—is using proprietary operations management software from Emerson Electric Co. to improve alarm performance its more than 5-million tonne/year Petromidia refinery in Năvodari, Romania, on the Black Sea. To date, implementation of Emerson’s DeltaV AgileOps operations management software has helped reduce distributed control system (DCS) alarm volumes at the Petromidia refinery by more than 95%, the service provider said on July 14. Emerson said the project improved alarm performance, increased operator effectiveness, and brought alarm rates within the Engineering Equipment and Materials Users Association (EEMUA) 191 guideline recommendations. Before implementation of DeltaV AgileOps, alarm behavior at the refinery—Romania’s largest—expanded beyond recommended best practices, including high alarm volumes during plant disturbances, nuisance-chattering alarms, and alarms that remained active during normal operation. To address those issues, Rompetrol Rafinare worked with KMG International’s engineering and maintenance services provider SC Rominserv SRL to improve alarm quality and reduce nuisance alarms across the refinery. Use of DeltaV AgileOps—which pulls alarm and event data directly from the DeltaV DCS running the plant—provided continuous visibility into alarm performance, including average and peak alarm rates, recurring alarm sequences, and time spent outside recommended operating thresholds, Emerson said. Following implementation, engineering teams at the refinery used performance dashboards and historical trending to identify high-frequency alarms, stale alarms, and nuisance “bad actor” alarms responsible for disproportionate alarm activity. The teams evaluated alarm behavior during steady-state operation, startup conditions, and process disturbances, then assessed proposed changes to alarm limits, priorities, and suppression strategies against plant data. Emerson said the project reduced alarm generation to fewer than 50,000 alarms/month from more than 2 million alarms/month during normal operation. Emerson—which linked the outcome to EEMUA 191 guidance that

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EIA: US crude inventories down 1.7 million bbl

US crude oil inventories for the week ended July 10, excluding the Strategic Petroleum Reserve, decreased by 1.7 million bbl from the previous week, according to data from the US Energy Information Administration (EIA). At 409.7 million bbl, US crude oil inventories are about 6% below the 5-year average for this time of year, the EIA report indicated. EIA said total motor gasoline inventories decreased by 1.5 million bbl from last week and are 8% below the 5-year average for this time of year. Finished gasoline inventories and blending components inventories both decreased last week. Distillate fuel inventories increased by 4.6 million bbl last week and are about 11% below the 5-year average for this time of year. Propane-propylene inventories increased by 3 million bbl from last week and are 28% above the 5-year average for this time of year, EIA said. US crude oil refinery inputs averaged 17.1 million b/d for the week ended July 10, which was 99,000 b/d more than the previous week’s average. Refineries operated at 96.2% of capacity. Gasoline production decreased, averaging 9.6 million b/d. Distillate fuel production increased, averaging 5.3 million b/d. US crude oil imports averaged 5.7 million b/d, up 60,000 b/d from the previous week. Over the last 4 weeks, crude oil imports averaged about 5.5 million b/d, 12.2% less than the same 4-week period last year. Total motor gasoline imports averaged 354,000 b/d. Distillate fuel imports averaged 93,000 b/d.

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Shell FID advances LNG regasification in The Bahamas

Shell Bahamas Power Co. Inc., a subsidiary of Shell plc, has reached a final investment decision (FID) to develop an LNG regasification terminal in Nassau, The Bahamas. The project is intended to supply natural gas for power generation on New Providence, the country’s most populous island, replacing fuel oil and diesel and helping reduce emissions. The Bahamian government is pursuing a phased energy sector reform program that will enable the gradual conversion of existing power generation assets to natural gas in line with national demand. As part of the FID, Shell acquired a 40% interest in New Providence Gas Ltd. (NPG), a joint venture with Sun Oil Holdings, a subsidiary of FOCOL Holdings Ltd. NPG will construct, own, and operate the small-scale LNG regasification terminal at the Clifton Pier industrial area on the southwestern end of New Providence. Shell said it will supply LNG to the project, leveraging its US LNG portfolio. In August 2025, Nikkiso Clean Energy & Industrial Gases Group (Nikkiso CE&IG) was selected by NPG to provide LNG regasification and cryogenic equipment for the project, which is expected to support lower-carbon power generation by supplying LNG to new and retrofitted gas turbines that currently run on diesel. Nikkiso CE&IG will manufacture and deliver a packaged regasification system with modular, standardized design with capacity of 55 MMscfd. The system will include high-pressure submerged centrifugal pumps installed in a modular pump skid, a gas-fired water bath vaporizer and associated power distribution and control systems, an insulated pipeline incorporating the company’s vacuum-jacketed technology, and other ancillary equipment. The company also will provide engineering services for the project.

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LG rolls out new AI services to help consumers with daily tasks

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More LG kicked off the AI bandwagon today with a new set of AI services to help consumers in their daily tasks at home, in the car and in the office. The aim of LG’s CES 2025 press event was to show how AI will work in a day of someone’s life, with the goal of redefining the concept of space, said William Joowan Cho, CEO of LG Electronics at the event. The presentation showed LG is fully focused on bringing AI into just about all of its products and services. Cho referred to LG’s AI efforts as “affectionate intelligence,” and he said it stands out from other strategies with its human-centered focus. The strategy focuses on three things: connected devices, capable AI agents and integrated services. One of things the company announced was a strategic partnership with Microsoft on AI innovation, where the companies pledged to join forces to shape the future of AI-powered spaces. One of the outcomes is that Microsoft’s Xbox Ultimate Game Pass will appear via Xbox Cloud on LG’s TVs, helping LG catch up with Samsung in offering cloud gaming natively on its TVs. LG Electronics will bring the Xbox App to select LG smart TVs. That means players with LG Smart TVs will be able to explore the Gaming Portal for direct access to hundreds of games in the Game Pass Ultimate catalog, including popular titles such as Call of Duty: Black Ops 6, and upcoming releases like Avowed (launching February 18, 2025). Xbox Game Pass Ultimate members will be able to play games directly from the Xbox app on select LG Smart TVs through cloud gaming. With Xbox Game Pass Ultimate and a compatible Bluetooth-enabled

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Big tech must stop passing the cost of its spiking energy needs onto the public

Julianne Malveaux is an MIT-educated economist, author, educator and political commentator who has written extensively about the critical relationship between public policy, corporate accountability and social equity.  The rapid expansion of data centers across the U.S. is not only reshaping the digital economy but also threatening to overwhelm our energy infrastructure. These data centers aren’t just heavy on processing power — they’re heavy on our shared energy infrastructure. For Americans, this could mean serious sticker shock when it comes to their energy bills. Across the country, many households are already feeling the pinch as utilities ramp up investments in costly new infrastructure to power these data centers. With costs almost certain to rise as more data centers come online, state policymakers and energy companies must act now to protect consumers. We need new policies that ensure the cost of these projects is carried by the wealthy big tech companies that profit from them, not by regular energy consumers such as family households and small businesses. According to an analysis from consulting firm Bain & Co., data centers could require more than $2 trillion in new energy resources globally, with U.S. demand alone potentially outpacing supply in the next few years. This unprecedented growth is fueled by the expansion of generative AI, cloud computing and other tech innovations that require massive computing power. Bain’s analysis warns that, to meet this energy demand, U.S. utilities may need to boost annual generation capacity by as much as 26% by 2028 — a staggering jump compared to the 5% yearly increases of the past two decades. This poses a threat to energy affordability and reliability for millions of Americans. Bain’s research estimates that capital investments required to meet data center needs could incrementally raise consumer bills by 1% each year through 2032. That increase may

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Final 45V hydrogen tax credit guidance draws mixed response

Dive Brief: The final rule for the 45V clean hydrogen production tax credit, which the U.S. Treasury Department released Friday morning, drew mixed responses from industry leaders and environmentalists. Clean hydrogen development within the U.S. ground to a halt following the release of the initial guidance in December 2023, leading industry participants to call for revisions that would enable more projects to qualify for the tax credit. While the final rule makes “significant improvements” to Treasury’s initial proposal, the guidelines remain “extremely complex,” according to the Fuel Cell and Hydrogen Energy Association. FCHEA President and CEO Frank Wolak and other industry leaders said they look forward to working with the Trump administration to refine the rule. Dive Insight: Friday’s release closed what Wolak described as a “long chapter” for the hydrogen industry. But industry reaction to the final rule was decidedly mixed, and it remains to be seen whether the rule — which could be overturned as soon as Trump assumes office — will remain unchanged. “The final 45V rule falls short,” Marty Durbin, president of the U.S. Chamber’s Global Energy Institute, said in a statement. “While the rule provides some of the additional flexibility we sought, … we believe that it still will leave billions of dollars of announced projects in limbo. The incoming Administration will have an opportunity to improve the 45V rules to ensure the industry will attract the investments necessary to scale the hydrogen economy and help the U.S. lead the world in clean manufacturing.” But others in the industry felt the rule would be sufficient for ending hydrogen’s year-long malaise. “With this added clarity, many projects that have been delayed may move forward, which can help unlock billions of dollars in investments across the country,” Kim Hedegaard, CEO of Topsoe’s Power-to-X, said in a statement. Topsoe

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Texas, Utah, Last Energy challenge NRC’s ‘overburdensome’ microreactor regulations

Dive Brief: A 69-year-old Nuclear Regulatory Commission rule underpinning U.S. nuclear reactor licensing exceeds the agency’s statutory authority and creates an unreasonable burden for microreactor developers, the states of Texas and Utah and advanced nuclear technology company Last Energy said in a lawsuit filed Dec. 30 in federal court in Texas. The plaintiffs asked the Eastern District of Texas court to exempt Last Energy’s 20-MW reactor design and research reactors located in the plaintiff states from the NRC’s definition of nuclear “utilization facilities,” which subjects all U.S. commercial and research reactors to strict regulatory scrutiny, and order the NRC to develop a more flexible definition for use in future licensing proceedings. Regardless of its merits, the lawsuit underscores the need for “continued discussion around proportional regulatory requirements … that align with the hazards of the reactor and correspond to a safety case,” said Patrick White, research director at the Nuclear Innovation Alliance. Dive Insight: Only three commercial nuclear reactors have been built in the United States in the past 28 years, and none are presently under construction, according to a World Nuclear Association tracker cited in the lawsuit. “Building a new commercial reactor of any size in the United States has become virtually impossible,” the plaintiffs said. “The root cause is not lack of demand or technology — but rather the [NRC], which, despite its name, does not really regulate new nuclear reactor construction so much as ensure that it almost never happens.” More than a dozen advanced nuclear technology developers have engaged the NRC in pre-application activities, which the agency says help standardize the content of advanced reactor applications and expedite NRC review. Last Energy is not among them.  The pre-application process can itself stretch for years and must be followed by a formal application that can take two

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Qualcomm unveils AI chips for PCs, cars, smart homes and enterprises

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Qualcomm unveiled AI technologies and collaborations for PCs, cars, smart homes and enterprises at CES 2025. At the big tech trade show in Las Vegas, Qualcomm Technologies showed how it’s using AI capabilities in its chips to drive the transformation of user experiences across diverse device categories, including PCs, automobiles, smart homes and into enterprises. The company unveiled the Snapdragon X platform, the fourth platform in its high-performance PC portfolio, the Snapdragon X Series, bringing industry-leading performance, multi-day battery life, and AI leadership to more of the Windows ecosystem. Qualcomm has talked about how its processors are making headway grabbing share from the x86-based AMD and Intel rivals through better efficiency. Qualcomm’s neural processing unit gets about 45 TOPS, a key benchmark for AI PCs. The Snapdragon X family of AI PC processors. Additionally, Qualcomm Technologies showcased continued traction of the Snapdragon X Series, with over 60 designs in production or development and more than 100 expected by 2026. Snapdragon for vehicles Qualcomm demoed chips that are expanding its automotive collaborations. It is working with Alpine, Amazon, Leapmotor, Mobis, Royal Enfield, and Sony Honda Mobility, who look to Snapdragon Digital Chassis solutions to drive AI-powered in-cabin and advanced driver assistance systems (ADAS). Qualcomm also announced continued traction for its Snapdragon Elite-tier platforms for automotive, highlighting its work with Desay, Garmin, and Panasonic for Snapdragon Cockpit Elite. Throughout the show, Qualcomm will highlight its holistic approach to improving comfort and focusing on safety with demonstrations on the potential of the convergence of AI, multimodal contextual awareness, and cloudbased services. Attendees will also get a first glimpse of the new Snapdragon Ride Platform with integrated automated driving software stack and system definition jointly

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Oil, Gas Execs Reveal Where They Expect WTI Oil Price to Land in the Future

Executives from oil and gas firms have revealed where they expect the West Texas Intermediate (WTI) crude oil price to be at various points in the future as part of the fourth quarter Dallas Fed Energy Survey, which was released recently. The average response executives from 131 oil and gas firms gave when asked what they expect the WTI crude oil price to be at the end of 2025 was $71.13 per barrel, the survey showed. The low forecast came in at $53 per barrel, the high forecast was $100 per barrel, and the spot price during the survey was $70.66 per barrel, the survey pointed out. This question was not asked in the previous Dallas Fed Energy Survey, which was released in the third quarter. That survey asked participants what they expect the WTI crude oil price to be at the end of 2024. Executives from 134 oil and gas firms answered this question, offering an average response of $72.66 per barrel, that survey showed. The latest Dallas Fed Energy Survey also asked participants where they expect WTI prices to be in six months, one year, two years, and five years. Executives from 124 oil and gas firms answered this question and gave a mean response of $69 per barrel for the six month mark, $71 per barrel for the year mark, $74 per barrel for the two year mark, and $80 per barrel for the five year mark, the survey showed. Executives from 119 oil and gas firms answered this question in the third quarter Dallas Fed Energy Survey and gave a mean response of $73 per barrel for the six month mark, $76 per barrel for the year mark, $81 per barrel for the two year mark, and $87 per barrel for the five year mark, that

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The Download: NASA’s new space telescope and OpenAI’s autonomous hacker

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Shape-shifting mirrors on NASA’s new space telescope could unveil Jupiters like our own When NASA’s Nancy Grace Roman Space Telescope launches, as early as the end of next month, it will attempt one of astronomy’s most precise disappearing acts to date. It will carry the first space-bound “active” coronagraph, an instrument that effectively erases most of the light from a star during photography. The technology will allow astronomers to take the first pictures of planets orbiting other stars that are similar to those in our solar system. Ultimately, it could pave the way for a future mission that could snap the first photos of Earth-like worlds. “I hope it’s remembered for it being that critical stepping stone for … finding Earth 2.0,” says Brandon Creager, the instrument’s lead mechanical engineer.
Read the full story on the space telescope that could transform the search for distant planets. —Eshan Raul
MIT Technology Review Narrated: PsiQuantum has a plan to make a massive quantum computer out of light The machine that could change the world will be housed in a room that looks like a data center crossed with an ice cream factory.  Inside, some 100 stainless-steel cabinets each hold hundreds of chips. On those chips, thousands of light particles will fly through a maze of optical switches and beam splitters. Each photon must be accounted for, because precisely measuring where it ends up will help answer questions that current computers might take millions of years to solve. This computer, as described, does not exist. It’s the brainchild of a company called PsiQuantum, founded in 2016 by four physicists from UK universities. In a crowded field of deep-pocketed competitors with similarly fantastical visions, the company aims to be the first to build a useful quantum machine. —James O’Donnell This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotifyand Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 OpenAI says one of its models carried out an autonomous hackIt escaped its testing sandbox and breached AI research platform Hugging Face. (Reuters $)+ OpenAI described it as a cybersecurity test that went badly wrong. (WSJ $)+ The hack is among the first known cyberattacks by an AI acting on its own. (FT $)+ Even simple AI attacks are cause for alarm, though. (MIT Technology Review)

2 France has become the first EU country to ban social media for under-15sIts parliament approved the ban, which President Macron championed. (NYT $)+ He pledged to enforce it by September, the start of the school year. (Guardian)+ But critics say it’s unconstitutional and impossible to enforce. (NPR) 3 The US and China will hold talks over AI in SeptemberTreasury Secretary Scott Bessent will lead the US side. (Reuters $)+ Chinese models have Trump’s AI world at war with itself. (MIT Technology Review) 4 Publishers are considering cutting Google off as AI reshapes searchNews outlets are weighing lost traffic against AI exposure. (WSJ $) 5 Samsung is in talks to invest €1 billion in MistralThe French AI firm is positioning itself as an alternative to US models. (FT $)+ It’s Europe’s leading AI firm, but US peers dwarf its $20 billion valuation. (Reuters $) 6 Amazon pushed up rivals’ prices, leaked records allegeInternal emails reveal tactics that allegedly reshaped online pricing. (Guardian) 7 Trump has tapped a Big Tech critic to lead the DOJ’s antitrust divisionAdam Candeub has called for tougher federal competition enforcement. (FT $) 8 New drilling methods could unlock geothermal energy almost anywhereThey aim to unlock Earth’s enormous heat reserves. (New Scientist $)+ AI is uncovering hidden geothermal energy resources. (MIT Technology Review) 9 AI researchers have proposed a “Genie coefficient” for measuring AI risksIt would track the gap between intent and action. (IEEE Spectrum)+ We need better ways to evaluate AI. (MIT Technology Review)
10 Japan’s AI boom has two unlikely winners: a toilet maker and an MSG giantThey’re supplying critical chipmaking materials. (CNBC) Quote of the day
“He’s an analog man in a digital AI world, and I think that’s incredibly appealing.” —Paul Dergarabedian, a movie industry analyst at Comscore, tells Fortune that Christopher Nolan’s commitment to human filmmaking provides an attractive counterweight to Hollywood’s embrace of AI. One More Thing DANA SMITH Taiwan’s “silicon shield” could be weakening Taiwan produces the majority of the world’s semiconductors and more than 90% of the most advanced chips needed for AI applications. Many believe that’s helped deter China from invading the island. But now some Taiwan specialists and citizens are worried that this “silicon shield” is cracking. Facing pressure from Washington, TSMC—the world’s largest chipmaker—is expanding manufacturing abroad. In Taiwan, there are worries that this will dilute the company’s power at home, making the US and other countries less inclined to defend the island. Find out why Taiwan’s chipmaking dominance could be key to its future security. —Johanna M. Costigan
We can still have nice things A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.) + Thrifty filmmakers have masterfully recreated Star Wars on a $10 budget.+ A man discovered squirrels hug and kiss their loved ones in the privacy of their homes.+ Toronto’s floating waterfront store is reimagining one of the most familiar spaces across cultures.+ These animations of Sesame Street characters performing classic tracks like Underworld’s “Born Slippy” will brighten up your day.

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Shape-shifting mirrors on NASA’s new space telescope could unveil Jupiters like our own

EXECUTIVE SUMMARY When NASA’s Nancy Grace Roman Space Telescope launches, as early as the end of next month, it will attempt one of astronomy’s most precise disappearing acts to date. The telescope will carry the first space-bound “active” coronagraph, an instrument that effectively erases most of the light from a star during photography. It will allow astronomers to take the first pictures of planets orbiting other stars that are similar to those in our solar system. Ultimately, it could pave the way for a future mission that could snap the first photos of Earth-like worlds. “I hope it’s remembered for it being that critical stepping stone for … finding Earth 2.0,” says Brandon Creager, the instrument’s lead mechanical engineer at NASA’s Jet Propulsion Laboratory (JPL). Named after Nancy Grace Roman, NASA’s first chief of astronomy, this new telescope will carry a roughly 300-megapixel wide-field camera that will enable it to capture images about 100 times larger than the Hubble Space Telescope’s widest exposures at a similar resolution.
These capabilities will help astronomers unpack the mysterious identities of dark matter and dark energy—and to detect around 100,000 new exoplanets, planets outside our solar system, whose presence can be inferred from the way they distort the starlight of more distant stars. Javier Viaña, a research scientist at Harvard who has had two projects selected for Roman’s highly competitive first year of observing, compares the leap to moving from “interviewing a handful of people” to “conducting a global census.” Another camera will use the coronagraph, blocking out a star’s light as it observes one stellar system at a time. The instrument will allow astronomers an unprecedented look at the space around stars, enabling them to see smaller, dimmer, and more close-in exoplanets. “It’s giving us the ability to see planets that we haven’t been able to physically see before,” says Creager.
The anatomy of a vanishing trick Coronagraphs in space aren’t new. But earlier incarnations, such as those currently aboard Hubble and the James Webb Space Telescope, use a stationary system to block a star’s blinding light. The approach does help, but it’s a bit like putting your thumb over a flashlight while searching a dark room for a firefly. Though the bulb vanishes, stray glare can still escape and overwhelm the light of the insect. Inside a telescope, that glare can come from light leaking around the edges of machinery or from minuscule imperfections in mirrors and coatings that can scatter starlight into speckles. All this can hide, or even impersonate, a planet. Roman’s coronagraph, however, will attempt something completely unseen in space telescopes until this year: Before each observation, it will measure that leftover light and try to suppress it, a technique known as active wavefront control. The telescope is able to do this because it contains two deformable mirrors. Each has a 48-by-48 checkerboard of actuators (tiny pistons) beneath a thin, deformable sheet of glass. Applying a small amount of voltage makes the actuators contract and tug their patches of mirror slightly backward, like thousands of microscopic fingers delicately sculpting a surface. The effect is very subtle: Each patch of mirror can deform by up to 0.5 micrometers, or about one-fourth the size of an E. coli bacterium, and in increments as small as approximately 10 picometers. That’s about a tenth the diameter of a hydrogen atom, says Ilya Poberezhskiy, the instrument’s project systems engineer at JPL. The actuators allow the mirrors to create an “active wavefront,” where each component is moved to the perfect position to cancel out incoming waves of unwanted light—a bit like a pair of noise-canceling headphones, but for light instead of sound. The “canceled-out” light creates a “doughnut-shaped region around the star where we suppress starlight and where we’re hoping to see exoplanets,” says Poberezhskiy. Compared with current space-based coronagraphs, the system is expected to improve sensitivity to exoplanets against the glare of their host stars by a factor of up to 1,000, revealing planets that would have been far too faint to detect before. Like Hubble and JWST, Roman also uses masks, patterned plates placed in the path of the light that are designed to block the photons that run into them. One tool in Roman’s mask arsenal is “silicon grass,” a thicket of microscopic spikes on some masks that can be used in certain configurations to absorb photons so they don’t bounce around the telescope and accidentally reach a detector. Light entering the forest bounces deeper and deeper between the blades and gets trapped instead of reflecting back toward the camera. “Once the light gets into there, it never gets out,” Poberezhskiy says. The mirrors and masks form a succession of gates and hedges to guide as much of the preserved planetary light as possible toward the final detector.

Alien Jupiters This elaborate setup could open a new chapter in the direct imaging of exoplanets. Nearly all exoplanets photographed so far are oversize youngsters that are nothing like the residents of our solar system: several times the mass of Jupiter, still glowing with the heat left over from their birth, and orbiting tens or hundreds of times farther from their star than the Earth is from the sun. This is because they are relatively easy to see. Their size, warmth, and distance from their parent star makes them shine brightly in infrared light, far away from the worst of the stellar glare. Roman, however, could directly image a true Jupiter analogue—a planet similar to Jupiter in mass and circling a sunlike star a few times farther out than Earth is from our sun. Unlike the hot Jupiters we can see now, this one would be a much more mature gas giant like ours, primarily reflecting its parent star’s light after billions of years of cooling instead of heavily emitting its own. Astronomers have been able to infer the existence of such planets from the gravitational wobble they impart to the star. Roman instead will collect starlight reflected from the planet itself. “We’re not looking at the star. We’re not looking at the effect of the planet on the star,” says Meredith MacGregor, a professor of astronomy at Johns Hopkins who has also secured an observing program. “We are actually looking at the planet, and that is super powerful.” Once this instrument becomes available, it will become the scientists’ turn to do their jobs. “I’m honestly a little terrified about how we’re all going to deal with it, because I think it’s just so much data,” MacGregor says. “I think people will legitimately still be working on Roman data for decades.” But don’t expect to see a 4K photo of an alien Jupiter in the coming months. Roman will not be able to resolve such a planet into a solid globe—at best, it will likely resemble a smattering of pixels. Still, that will be enough, MacGregor says, as Roman can then use the coronagraph to get information on the various wavelengths of light from the planet, which can tell astronomers about its atmospheric chemistry. “You’re taking something that’s a point of light and turning it into an actual world,” she says, “because if you know that about its atmosphere, now you know something about the surface of the planet and the possibility of life being on that planet, right? So that’s a big step.” During its first observations, scientists and engineers will see whether they can hold a star at the very center of the coronagraph’s masks, shape the mirrors, “dig” the dark doughnut (as Poberezhskiy describes it), and then maintain everything as the spacecraft moves through space and actively changes temperature. The results will inform NASA’s proposed Habitable Worlds Observatory, the daydream of many an exoplanet astronomer, which will in theory be able to separate the light of an Earthlike planet from that of a sunlike star, over 10 billion times brighter. Creager, who has worked on the instrument since 2018, is proud of the achievement: “Not too many people get to say, ‘I built something and it’s taking a picture of a planet that’s at a star that’s 50 light-years away or 100 light-years away.’” He imagines the moment he and his team will be able to look at the first image as it arrives: “Yes, we did that.” While the planet may show up only as a tiny dot, Roman’s achievement will be the darkness engineered around it.

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Introducing Gemini 3.5 Flash Cyber

Google has invested in cybersecurity for years, pioneering automated vulnerability discovery to secure the world’s codebases. Tools like CodeMender, our code security agent, can automatically find and fix critical software vulnerabilities. But as AI agents become more capable at finding vulnerabilities faster than defenders can fix them, addressing this global threat requires a highly capable, affordable, and scalable approach.Today, we’re expanding our longtime efforts to better prepare defenders by introducing Gemini 3.5 Flash Cyber, our lightweight cybersecurity model built on top of 3.5 Flash and fine-tuned to find, validate, and patch vulnerabilities quickly and efficient, making it more effective at these tasks than Gemini’s mainline Flash models.Flash’s performance and efficiency makes it an ideal foundation for our cybersecurity model efforts. By building on top of Flash, 3.5 Flash Cyber offers a cost-efficient and highly capable alternative to large, costly cybersecurity models.Given the dual-use nature of this technology, we have taken an intentional approach to how we deploy 3.5 Flash Cyber. As part of a limited-access pilot program, 3.5 Flash Cyber will be exclusively available to governments and trusted partners via CodeMender soon, expanding over time. This will give frontline defenders a head start in finding and fixing critical vulnerabilities before they can be exploited, while mitigating against broader misuse.Separately, we’re also bringing CodeMender’s foundational capabilities directly to customers with generally available Gemini models through the Gemini Enterprise Agent Platform.The search space problem: The advantage of lightweight models in code securityFinding deep-seated flaws requires exploring an immense execution search space. Relying on a single, expensive call to a massive language model can create a bottleneck. 3.5 Flash Cyber is particularly suitable for finding vulnerabilities where the agent has to scan a large codebase and analyze a large number of codepaths.CodeMender invokes 3.5 Flash Cyber multiple times, so agents can analyze vastly more code paths to discover and validate vulnerabilities. The sub-agents then produce a single, high-quality report.Thanks to its speed and affordability, 3.5 Flash Cyber can be easily integrated into frequent scans, time-sensitive launch processes or commit scanning pipelines at scale.3.5 Flash Cyber benchmark results: an efficient alternative to larger cybersecurity modelsWe tested 3.5 Flash Cyber on a variety of benchmarks. In particular, we tested 3.5 Flash Cyber on the CyberGym benchmark, which evaluates AI agents against hundreds of real-world software vulnerabilities. Leveraging the low cost of 3.5 Flash Cyber by configuring CodeMender to call 3.5 Flash Cyber up to five times for a single, final report, the overall agent achieved competitive performance against significantly larger models on CyberGym*.

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Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

Developers and customers building production AI agents need higher token efficiency, lower latency, and more reliable performance. Our Flash series of models is built to meet the sweet spot of efficiency and quality to enable scaling agentic workflows. Building on Gemini 3.5 Flash, we’re introducing new Gemini models:3.6 Flash: Our workhorse model that delivers better coding, knowledge work, and multimodal performance. According to the Artificial Analysis Index, it reduces output token usage by 17% compared to 3.5 Flash, and in some benchmarks like DeepSWE by Datacurve, we observe up to 65%, all at a lower cost per output token.3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model, delivering 350 output tokens per second according to the Artificial Analysis Index, also significantly outperforming prior Flash-Lite generations in agentic workflows.3.5 Flash Cyber in CodeMender: Successful cybersecurity applications require careful orchestration of a model alongside an agent infrastructure. We’re introducing a combination of a new, highly efficient, specialized cyber-focused model paired with our CodeMender code security agent that delivers competitive performance at the frontier.Beyond today’s releases, Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready. In parallel, our team is already focusing on building the next generation of models. We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress.3.6 Flash: More efficient and better quality than 3.5 FlashGemini 3.6 Flash builds directly on developer and customer feedback from 3.5 Flash. 3.6 Flash not only delivers a step up in coding and knowledge work, but it does this while meaningfully improving token efficiency. For example, on the Artificial Analysis Index, we see 3.6 Flash consuming 17% fewer output tokens than 3.5 Flash. It also takes fewer reasoning steps and tool calls to accomplish multi-step workflows.This enhanced efficiency is also combined with a lower price than 3.5 Flash. At $1.50/1M input tokens and $7.50/1M output tokens, 3.6 Flash reduces the overall cost per agentic task, making agents more cost-effective to build and run.

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The Download: Chinese AI divides the White House, and a record copyright payout

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. China’s AI models have Trump’s AI world at war with itself Last weekend, several current and former advisers to President Donald Trump on AI publicly lobbed insults at the country’s leading AI companies. David Sacks branded Anthropic’s models “lobotomized” and “woke.” Emil Michael, a top Pentagon official, called OpenAI’s new head of strategic futures a “supreme village idiot.” It began because no one can agree on what to do about Kimi, a free, open-source model that Chinese AI company Moonshot launched last week. It appears to rival the intelligence of models from OpenAI and Anthropic, which are very much not free.  Every time a new smart, free model from China gets released, US companies see less reason to fork out money for models from Anthropic or OpenAI. That’s creating economic and political problems for the president—and dividing the top AI strategists in his orbit. 
Read the full story on why no one can agree what to do about Kimi. —James O’Donnell
This article is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Anthropic’s record $1.5 billion copyright settlement has been approvedThe plaintiffs said Anthropic used pirated works to train Claude. (Reuters $)+ And won the largest known copyright payout in history. (Engadget)+ Yet many authors and creators still don’t view it as a win. (TechCrunch)+ But AI copyright anxiety could limit creativity. (MIT Technology Review) 2 The Trump administration is weighing a ban on Chinese AI modelsThe launch of Kimi K3 has revived calls for restrictions. (Axios)+ But officials are divided on the proposals. (Fast Company)+ China’s bet on open-source is paying off. (MIT Technology Review) 3 China is mulling tighter export controls on AI models and chipsIt wants to stop the West from acquiring its tech and startups. (FT $)+ Beijing has held talks with tech firms about potential restrictions. (Reuters $) 4 Trump’s AI safety head has resigned after just three monthsChris Fall had led CAISI, the federal AI Safety Institute, since April. (Axios)+ No reason was given for his exit. (CNBC) 5 Google is working on a new chip to run Gemini models more efficiently The chip, called “Frozen V2,” may be deployed in 2028. (Information $)+ Alphabet stock popped on the report. (CNBC)6 New Orleans police have explored arming drones with weaponsA draft drone manual paves the way for weaponised quadcopters. (404 Media)+ Shoplifters could soon be chased by drones. (MIT Technology Review) 7 The EU has handed AliExpress a record fine over unsafe product salesThe €550 million fine is the largest-ever under the Digital Services Act. (BBC)+ Alibaba has vowed to appeal the fine. (SCMP)8 Election advice from AI chatbots is “inaccurate and unreliable”That’s the conclusion from tests in Hungary earlier this year. (Guardian)9 Red light therapy is showing promise for healing and healthy agingBetter skin and reduced vision loss are also on the cards. (Economist $)10 Neill Blomkamp’s new horror clip is all AI-generated—and it sucksThe acclaimed director wants to make “a full feature in this format.” (Gizmodo) Quote of the day “This would be a terribly self-defeating form of intervention if it were to happen.”  —Tech investor Chamath Palihapitiya slams plans to restrict Chinese AI models in a post on X. One More Thing AKILAH TOWNSEND Inside Chicago’s surveillance panopticon Early on the morning of September 2, 2024, four people were shot and killed on a westbound train in Chicago. Police swiftly activated a digital dragnet—a surveillance network that connects thousands of cameras across the city—and arrested the suspect just 90 minutes later.

Law enforcement and security advocates say this vast monitoring system protects public safety and works well. But activists and many residents say it’s a surveillance panopticon that creates a chilling effect on behavior and violates guarantees of privacy and free speech. Go inside the surveillance network that’s dividing Chicago. —Rod McCullom We can still have nice things A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.) + NASA has shared a stunning timelapse video of the Psyche spacecraft’s view of Mars.+ This comparison of American and European Urbanism shows good city design is a choice.+ Musician Luca Stricagnoli recently performed a marvellous acoustic guitar medley of Prodigy songs.+ Two Australian paddleboarders saved a stranded wallaby after it was swept out to sea—and caught the whole rescue on video.

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Advancing next-gen AI with materials science innovation

Provided bySyensqo The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and higher reliability. Every increase in computing performance increases the physical demands placed on the systems that make and run AI. Delivering these gains depends not only on advances in chip design and system architecture, but on advances in the materials that enable them to perform under extreme conditions. As AI continues to push the physical limits of semiconductors and data center infrastructure, advanced materials are no longer simply supporting innovation in this area; they are defining the limits of what is possible.
Performance first Advanced materials exist to solve performance challenges. As AI raises the bar, these challenges are becoming more demanding. Manufacturing a semiconductor chip today requires thousands of tightly controlled process steps, with almost no room for error. Tiny variations in temperature or chemical instability can create defects that reduce yield and drive up manufacturing costs. With every new generation of semiconductor chips, manufacturers seek advanced materials that can deliver greater purity, higher chemical and plasma resistance, and better stability under increasingly harsh operating conditions.
These are familiar engineering challenges being pushed to new extremes. And it’s here that materials innovation makes the difference with continuous advances in polymers, elastomers, specialty fluids, and other advanced materials that make each new generation of technology possible. For materials companies, it’s not about reinventing semiconductor manufacturing but about ensuring the materials supporting the industry continue to evolve alongside it. This same principle applies beyond the semiconductor fabrication floor. As AI workloads become more demanding, the physical infrastructure that powers them is evolving rapidly. Increasing computing density is transforming data center design, driving the need for more sophisticated thermal management, higher-voltage power architectures, increased data storage, and faster, more reliable data transmission. Every part of the system is under greater pressure, from cooling and power management to critical electronic components, such as connectors, capacitors, and hard disk drives. At Syensqo, we’re building on our expertise in electronic and electrical components, along with insights from other markets, to meet these emerging needs. For example, as data centers shift to higher-voltage architectures and greater power density, many of the materials challenges we face closely mirror those of electric vehicles. Fluid-circulation know-how from semiconductor and automotive coolant systems, for instance, can be adapted to direct liquid-cooling designs for AI servers. By transferring knowledge across markets, we can accelerate new power and thermal management solutions while supporting the reliability required by next-generation AI infrastructure. Whether we’re talking about semiconductor fabrication or hyperscale server farms, the challenge for materials science companies is the same: enabling greater performance without compromising reliability. A new definition of what performance means While performance remains the first priority, the way performance is defined is changing. In addition to meeting the increasingly demanding technical requirements of next-generation semiconductors and data centers, there is now an expectation that these materials are developed and manufactured more responsibly.

Perfluoroelastomers, for example, are used to seal semiconductor manufacturing equipment. These materials operate under extreme temperatures, aggressive plasma, and highly reactive chemicals. To make the process more sustainable, at Syensqo, our next generation of perfluoroelastomers use a fluorosurfactant-free manufacturing process. Our goal was to make a better-performing material, produced in a better way, ensuring manufacturers no longer have to choose between higher performance and a more responsible way of producing the materials that enable it. This approach reflects a broader reality across the industry. New materials aren’t adopted simply because they are new. Qualification can take years, and manufacturers only make changes when a material solves a genuine engineering challenge or enables new technology. Performance remains the price of entry. The difference today is that the definition of performance has expanded. Success increasingly depends on delivering technical excellence through more responsible manufacturing from the outset. Accelerating the pace of discovery As the performance bar rises, the way we innovate must evolve with it. Developing advanced materials has traditionally involved a lengthy process of hypothesis, synthesis, testing, and iteration. While this process remains unchanged, new digital tools are helping researchers move through these cycles faster. By helping researchers identify the most promising candidates earlier, AI can reduce the number of physical experiments required and accelerate the earliest stages of materials discovery. AI isn’t replacing scientific expertise. It’s helping scientists apply that expertise more effectively, allowing them to spend less time searching for answers and more time solving the industry’s toughest challenges.
At Syensqo, we’re putting this approach into practice through use of several AI tools, including the Microsoft Discovery platform, which are helping researchers identify and evaluate promising molecular candidates for next-generation heat transfer fluids, used in semiconductor manufacturing and data centers. AI helps our researchers rapidly identify and evaluate promising molecular candidates based on the properties they need to achieve. This allows us to focus laboratory work where it has the greatest potential to deliver results, accelerating discovery and reducing the time needed to turn promising materials into solutions customers can qualify and deploy.
The journey from laboratory discovery to a qualified material will always require scientific expertise, rigorous testing, and close collaboration with customers. But by accelerating the earliest stages of discovery, AI can help materials innovation keep pace with the evolving needs of industries such as semiconductors, electronics, and data centers. Progress is earned The future of artificial intelligence will depend on better algorithms, more powerful chips, and larger computing infrastructure. But sustaining that progress will also require advances in the materials that make those technologies possible. Whether in semiconductor manufacturing or AI infrastructure, progress is earned. Every new generation of technologies raises the bar, and every new material must prove it can deliver the performance, reliability, and efficiency needed before it earns its place. For materials companies, that remains both the challenge and the opportunity. This content was produced by Syensqo. It was not written by MIT Technology Review’s editorial staff.

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When Buildability Breaks: What Prince William and New York Signal for Data Center Development

For several years, the Prince William Digital Gateway represented data center ambition at its largest scale: a proposed 2,100-acre technology corridor near Gainesville, Virginia, capable of accommodating tens of millions of square feet of digital infrastructure. Its location also made it uniquely contentious. The corridor bordered Manassas National Battlefield Park and other historic, environmental and residential resources, drawing the data center development debate beyond its usual industry and land-use constituencies. Opposition increasingly centered not only on the project’s scale, but on whether development of that magnitude belonged alongside one of the country’s most significant Civil War landscapes. In July 2026, that vision effectively ended. QTS Data Centers terminated its participation in the Digital Gateway and withdrew its remaining petitions before the Supreme Court of Virginia. The decision followed Compass Datacenters’ withdrawal in April, leaving neither of the project’s original developers pursuing the corridor. QTS said it reached the decision after “careful consideration,” while emphasizing that Virginia remains an important market for the company. From Proposed Capacity to Executable Capacity The collapse of the Digital Gateway is more than the cancellation of one unusually large development. It comes as the data center industry confronts a widening gap between announced capacity and executable capacity. Power remains the most visible constraint. But permitting discipline, environmental review, community acceptance and the durability of political support are increasingly determining whether a project can progress from land control and conceptual capacity to construction and operation. A separate development in New York underscored that shift less than two weeks after QTS withdrew. On July 14, Gov. Kathy Hochul issued Executive Order 62, establishing what the state describes as the nation’s first statewide moratorium on new hyperscale data centers. The order temporarily holds in abeyance certain incomplete state environmental permit applications for data centers capable of drawing at

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Google has started selling TPUs, but still keeps most for itself

Ashkenazi did not name the customers or describe the commercial arrangements, leaving open questions about whether the systems are being deployed by large enterprises, governments, sovereign AI initiatives, or other cloud providers. Until recently, Google’s TPU strategy centered on giving customers access to the chips through Google Cloud, while using the same silicon internally to power its own AI models and services. But during the company’s last earnings call in April, just days after it released two new TPU models, CEO Sundar Pichai said Google would consider selling TPUs to AI labs, capital markets firms, and high-performance computing applications. On Wednesday’s call, Pichai said Google will scale up TPU sales “based on the opportunities we see and the demand we see, commensurate with the constraints that exist and the allocation needs we have for frontier model development.”

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Supercooled kidneys have been transplanted into pigs in a “landmark achievement”

EXECUTIVE SUMMARY When it comes to organ donation, time is everything. As soon as an organ has been carefully removed from a donor’s body, it starts to deteriorate. Surgeons have a matter of hours to get it into a recipient. Leave it too long and the organ will become unusable. In most cases, organs will be kept on ice during that time, at around 4 °C (39 °F). They cannot be frozen—in previous attempts, ice has formed, causing all kinds of damage. Matthew Powell Palm at Texas A&M University and his colleagues have an alternative solution—a device that allows organs to be cooled to -4 °C (25 °F) without forming any ice. Now, in new research with pig organs, his team has shown that kidneys, at least, can be supercooled and preserved in the device for days. Once rewarmed, the organs have been successfully transplanted into animals, and they seem to do better than organs kept on ice.
The work represents “a landmark achievement,” says Kevin Myer, president and CEO of LifeGift, an organ procurement organization based in Texas, who was not involved in the research. Cooling organs Powell Palm hopes this approach could ultimately help ease the organ shortage crisis. Today, there are more than 104,000 people waiting for a kidney transplant in the US alone. It is estimated that 17 people die every day in the US while waiting for a transplant. That’s partly due to a lack of donated kidneys, but it’s also because many of those that are available never make it to a recipient. In some years, around one in three donated kidneys end up being discarded, often because they end up too degraded to use by the time they reach a recipient. Kidneys can be stored on ice for around 24 hours or placed in devices that aim to mimic the conditions of the body, also for up to around 24 hours. That’s not always long enough to find a suitable recipient and transport the organ, says Myer.
Scientists around the world have been working on ways to store organs for longer by cooling them to even chillier temperatures. Cooling an organ slows its metabolism—the colder you go, the greater the effect, and the longer you can store it. We’ve long been able to successfully cryopreserve eggs, sperm, and embryos, but it’s much harder to freeze large organs. Teams have been exploring various temperatures and cryoprotectants (chemicals that essentially work like antifreeze), but so far no one has been able to freeze human organs for transplantation.   As a thermodynamicist, Powell Palm explored another approach. By keeping an organ submerged at a constant pressure, it should be possible to prevent the formation of ice at temperatures a little below 0 °C, without the need for cryoprotectants (which might have side effects and would need to be approved before being used in human transplants).  To test this theory, Powell Palm and his colleagues have created a device that does just that. The device itself is essentially a hermetically sealed chamber with a transparent lid. At its base is a device that monitors the organ’s temperature and checks for the formation of ice. Organs are submerged in a solution that is already commonly used to preserve them for transplant. “I always describe this as low-tech high science,” says Powell Palm. “A lot of work has gone into understanding the … kinetics at play in this system, but ultimately … it’s quite simple.” Supercooled kidneys To test their device, Powell Palm and his colleagues first removed single kidneys from pigs. The organs were flushed with the same commonly used solution to remove the blood, just as transplant organs are. The team then kept some kidneys on ice for either two hours or 24 hours, to mimic standard conditions used in human transplantation. They also put some of the removed kidneys in their device for 24, 48, or 72 hours. The stored kidneys were then each transplanted back into the original donor pigs. Each pig’s second kidney was removed in the same procedure, leaving each animal with only the kidney that had been stored, and reimplanted. Once the 24-hour supercooled kidneys were transplanted, they immediately began producing urine—a key indication that they were working. The team members also measured other markers of kidney function and found that the organs appeared to be working normally within about 10 days of being transplanted. A kidney that was supercooled for 72 hours recovers once it is transplanted back into a pig.COURTESY RONALD SELLERS, POWELL-PALM LAB, TEXAS A&M UNIVERSITY That’s slower than kidneys stored on ice for two hours but much quicker than kidneys kept on ice for 24 hours, says Powell Palm.

The organs that were kept supercooled for 48 and 72 hours performed similarly, he says. “Even at three days—triple the clinical standard—we’re getting recovery that is faster than … [what has been] the gold standard for the last three decades,” he says. “So we’re really, really pumped about this.” “It is impressive,” says Heidi Yeh, a transplant surgeon at Mass General Brigham for Children, who also researches organ preservation technologies. “Often kidneys that have been stored for 48 hours [in other studies] take a week or two before they start working again.” Organs that grow The supercooled organs seem to work well in the long term, too. Over a 30-day period, the pigs grew by around 30%—and the kidneys grew with them, almost doubling in size to compensate for both the pigs’ growth and the lack of a second kidney. The team monitored one of the pigs for 200 days before removing and analyzing its kidney. Even at that point the organ looked healthy, says Powell Palm. He and his colleagues presented the findings at the American Transplant Congress in Boston last month. Earlier this year, researchers in Canada showed they could also cool pig kidneys to below-zero temperatures and transplant them into pigs. The team’s protocol included the use of a cryoprotectant, and organs were stored for up to 48 hours before being transplanted into pigs. Those organs survived for a week. In supercooling organs for 72 hours and showing that they do well for 30 days or more, Powell Palm and his colleagues have broken new ground. “It’s the first time this has ever been reported in history,” he says. Those extra hours could make all the difference, says Myer of LifeGift. The advance could give doctors more time to evaluate the kidneys, match them to the most suitable donors, and physically get the organs to their intended recipients in time. It could enable international donations and open up cheaper transport options, he adds. “Right now, with kidney transplantation the assumed limit is 18 to 24 hours,” he says. “If we can get up to 72 hours … that would change everything.” Powell Palm and his colleagues think they may even be able to go beyond 72 hours. In preliminary studies, organs that had been stored for up to 120 hours appeared healthy, although those organs have not yet been transplanted. And because the process doesn’t require any cryoprotective chemicals, the team members are hoping for an accelerated approval from the US Food and Drug Administration, which would allow them to test the device in human transplantations. The storage device is simple and compact, so Powell Palm thinks it will be easy to transport. It hasn’t been tested for air travel yet, but it has been used to take supercooled kidneys across the US in the back of a Kia Sorento, he says: “From a stability perspective, we view this as an even higher bar.” Powell Palm and his colleague Sebastian Giwa plan to launch a company dedicated to developing the technology, along with other protocols that “stop biological time,” in the coming months, he says.

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Linux XFS has a decade-old race condition allowing full root access

Affected Linux distributions include RHEL 8,9 and 10, CentOS Stream 8,9, and 10, Oracle Linux 8,9,10, Rocky and AlmaLinux 8,9, and 10, CloudLinux 8,9, and 10, Amazon Linux 2023 and Amazon Linux 2 AMIs from December 2022 onward, Fedora Server 31+, and Debian, Ubuntu and SUSE installations where XFS was manually selected. Usual kernel hardening practices, including memory protection features like Kernel Address Space Layout Randomization (KASLR), Supervisor Mode Access Prevention (SMAP), and Supervisor Mode Execution Prevention (SMEP), are ineffective as they are all aimed at different attack surfaces. Even a kernel lockdown does nothing to stop the affected path, Qualys noted. “SELinux doesn’t block the affected path in testing, and seccomp profiles are no barrier as long as they permit write and ioctl, which ordinary profiles do,” Abbasi explained. Immediate kernel patching and a full reboot are the only reliable mitigations, he added.

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Federal quantum bet grows with DARPA’s $125 million PsiQuantum award

Defense research agency DARPA made its largest quantum computing award ever this week, with a $125 million agreement announced on Wednesday. The same day, the White House announced an additional $5 billion for the Genesis Mission, which focuses on AI for science but also includes technology to accelerate quantum computing and quantum sensors. “Taken together, these announcements signal that U.S. quantum strategy is shifting from supporting individual research projects to building the infrastructure needed for a quantum-enabled economy,” says Heather West, research manager in the infrastructure systems, platforms, and technology group at IDC. None of the individual quantum announcements are surprising, she says. But the level of coordination is new. “Government investment is expanding beyond foundational research toward commercialization, manufacturing, and deployment,” she says.

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IBM keen on mainframe even after 42% revenue drop in Q2

In a July 14 letter to investors released prior to IBM’s July 22 earnings call, CEO Arvind Krishna warned of the earnings shortfall and laid out current challenges. He related the infrastructure performance shortfall to “wrapping on the launch of z17 in the second quarter” and stated: “Given this was the strongest start to a mainframe program in our history, we expected Infrastructure revenue to decline low-single digits for the year, beginning this quarter. What played out was worse than our expectations, driven by a shortfall in our Z performance and the associated software stack, primarily in Transaction Processing.” In the last few weeks of June, customers shifted capex spending and started purchasing more AI infrastructure components in the form of servers, storage, and memory “to secure supply-constrained infrastructure ahead of expected price increases,” Krishna stated. “This dynamic impacted client buying patterns. While we anticipated some supply chain related impact in our expectations, we did not anticipate the magnitude of the capex reprioritization.” Yet despite challenges this last quarter, z17 remains at nearly 130% growth program-to-program, according to IBM. That’s “well ahead of z16, which was our strongest program on record, with clients representing 85% of installed MIPs maintaining or growing capacity,” the July 14 letter stated.

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