Stay Ahead, Stay ONMINE

Engineering better care

Every Monday, more than a hundred members of Giovanni Traverso’s Laboratory for Translational Engineering (L4TE) fill a large classroom at Brigham and Women’s Hospital for their weekly lab meeting. With a social hour, food for everyone, and updates across disciplines from mechanical engineering to veterinary science, it’s a place where a stem cell biologist might weigh in on a mechanical design, or an electrical engineer might spot a flaw in a drug delivery mechanism. And it’s a place where everyone is united by the same goal: engineering new ways to deliver medicines and monitor the body to improve patient care. Traverso’s weekly meetings bring together a mix of expertise that lab members say is unusual even in the most collaborative research spaces. But his lab—which includes its own veterinarian and a dedicated in vivo team—isn’t built like most. As an associate professor at MIT, a gastroenterologist at Brigham and Women’s, and an associate member of the Broad Institute, Traverso leads a sprawling research group that spans institutions, disciplines, and floors of lab space at MIT and beyond.  For a lab of this size—spread across MIT, the Broad, the Brigham, the Koch Institute, and The Engine—it feels remarkably personal. Traverso, who holds the Karl Van Tassel (1925) Career Development Professorship, is known for greeting every member by name and scheduling one-on-one meetings every two or three weeks, creating a sense of trust and connection that permeates the lab. That trust is essential for a team built on radical interdisciplinarity. L4TE brings together mechanical and electrical engineers, biologists, physicians, and veterinarians in a uniquely structured lab with specialized “cores” such as fabrication, bioanalytics, and in vivo teams. The setup means a researcher can move seamlessly from developing a biological formulation to collaborating with engineers to figure out the best way to deliver it—without leaving the lab’s ecosystem. It’s a culture where everyone’s expertise is valued, people pitch in across disciplines, and projects aim squarely at the lab’s central goal: creating medical technologies that not only work in theory but survive the long, unpredictable journey to the patient. “At the core of what we do is really thinking about the patient, the person, and how we can help make their life better,” Traverso says. Helping patients ASAP Traverso’s team has developed a suite of novel technologies: a star-shaped capsule that unfolds in the stomach and delivers drugs for days or weeks; a vibrating pill that mimics the feeling of fullness; the technology behind a once-a-week antipsychotic tablet that has completed phase III clinical trials. (See “Designing devices for real-world care,” below.) Traverso has cofounded 11 startups to carry such innovations out of the lab and into the world, each tailored to the technology and patient population it serves. But the products are only part of the story. What distinguishes Traverso’s approach is the way those products are conceived and built. In many research groups, initial discoveries are developed into early prototypes and then passed on to other teams—sometimes in industry, sometimes in clinical settings—for more advanced testing and eventual commercialization. Traverso’s lab typically links those steps into one continuous system, blending invention, prototyping, testing, iteration, and clinical feedback as the work of a single interdisciplinary team. Engineers sit shoulder to shoulder with physicians, materials scientists with microbiologists. On any given day, a researcher might start the morning discussing an animal study with a veterinarian, spend the afternoon refining a mechanical design, and close the day in a meeting with a regulatory expert. The setup collapses months of back-and-forth between separate teams into the collaborative environment of L4TE. “This is a lab where if you want to learn something, you can learn everything if you want,” says Troy Ziliang Kang, one of the research scientists.  In a field where translating scientific ideas into practical applications can take years (or stall indefinitely), Traverso has built a culture designed to shorten that path. The range of problems the lab tackles reflects its interdisciplinary openness. One recent project aimed to replace invasive contraceptive devices such as vaginal rings with a biodegradable injectable that begins as a liquid, solidifies inside the body, and dissolves safely over time.  Another project addresses the challenge of delivering drugs directly to the gut, bypassing the mucus barrier that blocks many treatments. For Kang, whose grandfather died of gastric cancer, the work is personal. He’s developing devices that combine traditional drugs with electroceuticals—therapies that use electrical stimulation to influence cells or tissues. “What I’m trying to do is find a mechanical approach, trying to see if we can really, through physical and mechanical approaches, break through those barriers and to deliver the electroceuticals and drugs to the gut,” he says. In a field where the process of translating scientific ideas into practical applications can take years (or stall indefinitely), Traverso, 49, has built a culture designed to shorten that path. Researchers focus on designing devices with the clinical relevance to help people in the near term.  And they don’t wait for outsiders to take an idea forward. They often initiate collaborations with entrepreneurs, investors, and partners to create startups or push projects directly into early trials—or even just do it themselves. The projects in the L4TE Lab are ambitious, but the aim is simple: Solve problems that matter and build the tools to make those solutions real. Nabil Shalabi, an instructor in medicine at Harvard/BWH, an associate scientist at the Broad Institute, and a research affiliate in Traverso’s lab, sums up the attitude succinctly: “I would say this lab is really about one thing, and it’s about helping people.” The physician-inventor Traverso’s path into medicine and engineering began far from the hospitals and labs where he works today. Born in Cambridge, England, he moved with his family to Peru when he was still young. His father had grown up there in a family with Italian roots; his mother came from Nicaragua. He spent most of his childhood in Lima before political turmoil in Peru led his family to relocate to Toronto when he was 14. In high school, after finishing most of his course requirements early, he followed the advice of a chemistry teacher and joined a co-op program that would give him a glimpse of some career options. That decision brought him to a genetics lab at the Toronto Hospital for Sick Children, where he spent his afternoons helping map chromosome 7 and learning molecular techniques like PCR. “In high school, and even before that, I always enjoyed science,” Traverso says. After class, he’d ride the subway downtown and step into a world of hands-on science, working alongside graduate students in the early days of genomics. “I really fell in love with the day-to-day, the process, and how one goes about asking a question and then trying to answer that question experimentally,” he says. By the time he finished high school, he had already begun to see how science and medicine could intersect. He began an undergraduate medical program at Cambridge University, but during his second year, he reached out to the cancer biologist Bert Vogelstein and joined his lab at Johns Hopkins for the summer. The work resonated. By the end of the internship, Vogelstein asked if he’d consider staying to pursue a PhD. Traverso agreed, pausing his medical training after earning an undergraduate degree in medical sciences and genetics, and moved to Baltimore to begin a doctorate in molecular biology. As a PhD student, he focused on the early detection of colon cancer, developing a method to identify mutations in stool samples—a concept later licensed by Exact Sciences and used in what is now known as the Cologuard test. After completing his PhD (and earning a spot on Technology Review’s 2003 TR35 list of promising young innovators for that work), he returned to Cambridge to finish medical school and spent the next three years in the UK, including a year as a house officer (the equivalent of a clinical intern in the US). Traverso chose to pursue clinical training alongside research because he believed each would make the other stronger. “I felt that having the knowledge would help inform future research development,” he says. An ingestible drug-releasing capsule about the size of a multivitamin expands into a star shape once inside the patient’s stomach.JARED LEEDS So in 2007, as Traverso began a residency in internal medicine at Brigham and Women’s, he also approached MIT, where he reached out to Institute Professor Robert Langer, ScD ’74. Though Traverso didn’t have a background in Langer’s field of chemical engineering, he saw the value of pairing clinical insight with the materials science research happening in the professor’s lab, which develops polymers, nanoparticles, and other novel materials to tackle biomedical challenges such as delivering drugs precisely to diseased tissue or providing long-term treatment through implanted devices. Langer welcomed him into the group as a postdoctoral fellow. In Langer’s lab, he found a place where clinical problems sparked engineering solutions, and where those solutions were designed with the patient in mind from the outset. Many of Traverso’s ideas came directly from his work in the hospital: Could medications be delivered in ways that make it easier for patients to take them consistently? Could a drug be redesigned so it wouldn’t require refrigeration in a rural clinic? And caring for a patient who’d swallowed shards of glass that ultimately passed without injury led Traverso to recognize the GI tract’s tolerance for sharp objects, inspiring his work on the microneedle pill. “A lot of what we do and think about is: How do we make it easier for people to receive therapy for conditions that they may be suffering from?” Traverso says. How can they “really maximize health, whether it be by nutrient enhancement or by helping women have control over their fertility?”  If the lab sometimes runs like a startup incubator, its founder still thinks like a physician. Scaling up to help more people Traverso has cofounded multiple companies to help commercialize his group’s inventions. Some target global health challenges, like developing more sustainable personal protective equipment (PPE) for health-care workers. Others take on chronic conditions that require constant dosing—HIV, schizophrenia, diabetes—by developing long-­acting oral or injectable therapies. From the outset, materials, dimensions, and mechanisms are chosen for more than just performance in the lab. The researchers also consider the realities of regulation, manufacturing constraints, and safe use in patients. “We definitely want to be designing these devices to be made of safe materials or [at a] safe size,” says James McRae, SM ’22, PhD ’25. “We think about these regulatory constraints that could come up in a company setting pretty early in our research process.” As part of his PhD work with Traverso, McRae created a “swallow-­and-forget” health-tracking capsule that can stay in the stomach for months—and it doesn’t require surgery to install, as an implant would. The capsule measures tiny shifts in stomach temperature that happen whenever a person eats or drinks, providing a continuous record of eating patterns that’s far more reliable than what external devices or self-reporting can capture. The technology could offer new insight into how drugs such as Ozempic and other GLP-1 therapies change behavior—something that has been notoriously hard to monitor. From “day one,” McRae made sure to involve external companies and regulatory consultants for future human testing. Traverso describes the lab’s work as a “continuum,” likening research projects to children who are born, nurtured, and eventually sent into the world to thrive and help people. Traverso and his team developed a device that can adhere to soft, wet surfaces. The design was inspired by studies of a sucker fish that attaches to sharks and other marine animals.COURTESY OF THE RESEARCHERS For lab employee Matt Murphy, a mechanical engineer who manages one of the main mechanical fabrication spaces, that approach is part of the draw. Having worked with researchers on projects spanning multiple disciplines—mechanical engineering, electronics, materials science, biology—he’s now preparing to spin out a company with one of Traverso’s postdocs.  “I feel like I got the PhD experience just working here for four years and being involved in health projects,” he says. “This has been an amazing opportunity to really see the first stages of company formation and how the early research really drives the commercialization of new technology.” The lab’s specialized “cores” ensure that projects have consistent support and can draw on plenty of expertise, regardless of how many students or postdocs come and go. If a challenge arises in an area in which a lab member has limited knowledge, chances are someone else in the lab has that background and will gladly help. “The culture is so collaborative that everybody wants to teach everybody,” says Murphy. Creating opportunities  In Traverso’s lab, members are empowered to pursue technically demanding research because the culture he created encourages them to stretch into new disciplines, take ownership of projects, and imagine where their work might go next. For some, that means cofounding a company. For others, it means leaving with the skills and network to shape their next big idea. “He gives you both the agency and the support,” says Isaac Tucker, an L4TE postdoc based at the Broad Institute. “Gio trusts the leads in his lab to just execute on tasks.” McRae adds that Traverso is adept at identifying “pain points” in research and providing the necessary resources to remove barriers, which helps projects advance efficiently.  A project led by Kimberley Biggs, another L4TE postdoc, captures how the lab approaches high-stakes problems. Funded by the Gates Foundation, Biggs is developing a way to stabilize therapeutic bacteria used for neonatal and women’s health treatments so they remain effective without refrigeration—critical for patients in areas without reliable temperature-controlled supply chains. A biochemist by training, she had never worked on devices before joining the lab, but she collaborated closely with the mechanical fabrication team to embed her bacterial therapy for conditions such as bacterial vaginosis and recurrent urinary tract infections into an intravaginal ring that can release it over time. She says Traverso gave her “an incredible amount of trust” to lead the project from the start but continued to touch base often, making sure there were “no significant bottlenecks” and that she was meeting all the goals she wanted to meet to progress in her career. Traverso encourages collaboration by putting together project teams that combine engineers, physicians, and scientists from other fields—a strategy he says can be transformative.  “If you only have one expert, they are constrained to what they know,” he explains. But “when you bring an electrical engineer together with a biologist or physician, the way that they’ll be able to see the problem or the challenge is very different.” As a result, “you see things that perhaps you hadn’t even considered were possible,” he says. Moving a project from a concept to a successful clinical trial “takes a village,” he adds. It’s a “complex, multi-step, multi-person, multi-year” process involving “tens if not hundreds of millions of dollars’ worth of effort.” Good ideas deserve to be tested The portion of Traverso’s lab housed at the “tough tech” incubator The Engine—and the only academic group working there—occupies a 30-bench private lab alongside shared fabrication spaces, heavy machinery, and communal rooms of specialized lab equipment. The combination of dedicated and shared resources has helped reduce some initial equipment expenses for new projects, while the startup-dense environment puts potential collaborators, venture capital, and commercialization pathways within easy reach. Biggs’s work on bacterial treatments is one of the lab’s projects at The Engine. Others include work to develop electronics for capsule-based devices and an applicator for microneedle patches. Traverso’s philosophy is to “fail well and fail fast and move on.” The end of one table houses “blue sky” research on a topic of long-standing interest to Traverso: pasta. Led by PhD student Jack Chen, the multi-pronged project includes using generative AI to help design new pasta shapes with superior sauce adhesion. Chen and collaborators ranging from executive chefs to experts in fluid dynamics apply the same analytical rigor to this research that they bring to medical devices. It’s playful work, but it’s also a microcosm of the lab’s culture: interdisciplinary to its core, unafraid to cross boundaries, and grounded in Traverso’s belief that good ideas deserve to be tested—even if they fail. “I’d say the majority of things that I’ve ever been involved in failed,” he says. “But I think it depends on how you define failure.” He says that most of the projects he worked on for the first year and a half of his own PhD either just “kind of worked” or didn’t work at all—causing him to step back and take a different approach that ultimately led him to develop the highly effective technique now used in the Cologuard test. “Even if a hypothesis that we had didn’t work out, or didn’t work out as we thought it might, the process itself, I think, is valuable,” he says. So his philosophy is to “fail well and fail fast and move on.” A tiny capsule that delivers a burst of medication directly into the GI tract offers an alternative to injections.JARED LEEDS In practice, that means encouraging students and postdocs to take on big, uncertain problems, knowing a dead end isn’t the end of their careers—just an opportunity to learn how to navigate the next challenge better. McRae remembers when a major program—two or three years in the making—abruptly changed course after its sponsor shifted priorities. The team had been preparing a device for safety testing in humans; suddenly, the focus on that goal was gone. Rather than shelving the work, Traverso urged the group to use it as an opportunity to “be a little more creative again” and explore new directions, McRae says. That pivot sparked his work on an autonomous drug delivery system, opening lines of research the team hadn’t pursued before. In this system, patients swallow two capsules that interact in the stomach. When a sensor capsule detects an abnormal signal, it directs a second capsule to release a drug. “He will often say, ‘I have a focus on not wasting time. Time is something that you can’t buy back. Time is something that you can’t save and bank for later.’” Kimberley Biggs “When things aren’t working, just make sure they didn’t work and you’re confident why they didn’t work,” Traverso says he tells his students. “Is it the biology? Is it the materials science? Is it the mechanics that aren’t just aligning for whatever reason?” He models that diagnostic mindset—and the importance of preserving momentum.  “He will often say, ‘I have a focus on not wasting time. Time is something that you can’t buy back. Time is something that you can’t save and bank for later,’” says Biggs. “And so whenever you do encounter some sort of bottleneck, he is so supportive in trying to fix that.”  Traverso’s teaching reflects the same interplay between invention, risk, and real-world impact. In Translational Engineering, one of his graduate-level courses at MIT, he invites experts from the FDA, hospitals, and startups to speak about the realities of bringing medical technology to the world. “He shared his network with us,” says Murphy, who took the course while working in the lab. “Now that I’m trying to spin out a company, I can reach out to these people.”  Although he now spends most of his time on research and teaching, Traverso maintains an inpatient practice at the Brigham, participating in the consult service—a team of gastroenterology fellows and medical students supervising patient care—for several weeks a year. Staying connected to patients keeps the problems concrete and helps guide decisions on which puzzles to tackle in the lab. “I think there are certain puzzles in front of us, and I do gravitate to areas that have a solution that will help people in the near term,” he says. For Traverso, the measure of success is not the complexity of the engineering but the efficacy of the result. The goal is always a therapy that works for the people who need it, wherever they are. 

Every Monday, more than a hundred members of Giovanni Traverso’s Laboratory for Translational Engineering (L4TE) fill a large classroom at Brigham and Women’s Hospital for their weekly lab meeting. With a social hour, food for everyone, and updates across disciplines from mechanical engineering to veterinary science, it’s a place where a stem cell biologist might weigh in on a mechanical design, or an electrical engineer might spot a flaw in a drug delivery mechanism. And it’s a place where everyone is united by the same goal: engineering new ways to deliver medicines and monitor the body to improve patient care.

Traverso’s weekly meetings bring together a mix of expertise that lab members say is unusual even in the most collaborative research spaces. But his lab—which includes its own veterinarian and a dedicated in vivo team—isn’t built like most. As an associate professor at MIT, a gastroenterologist at Brigham and Women’s, and an associate member of the Broad Institute, Traverso leads a sprawling research group that spans institutions, disciplines, and floors of lab space at MIT and beyond. 

For a lab of this size—spread across MIT, the Broad, the Brigham, the Koch Institute, and The Engine—it feels remarkably personal. Traverso, who holds the Karl Van Tassel (1925) Career Development Professorship, is known for greeting every member by name and scheduling one-on-one meetings every two or three weeks, creating a sense of trust and connection that permeates the lab.

That trust is essential for a team built on radical interdisciplinarity. L4TE brings together mechanical and electrical engineers, biologists, physicians, and veterinarians in a uniquely structured lab with specialized “cores” such as fabrication, bioanalytics, and in vivo teams. The setup means a researcher can move seamlessly from developing a biological formulation to collaborating with engineers to figure out the best way to deliver it—without leaving the lab’s ecosystem. It’s a culture where everyone’s expertise is valued, people pitch in across disciplines, and projects aim squarely at the lab’s central goal: creating medical technologies that not only work in theory but survive the long, unpredictable journey to the patient.

“At the core of what we do is really thinking about the patient, the person, and how we can help make their life better,” Traverso says.

Helping patients ASAP

Traverso’s team has developed a suite of novel technologies: a star-shaped capsule that unfolds in the stomach and delivers drugs for days or weeks; a vibrating pill that mimics the feeling of fullness; the technology behind a once-a-week antipsychotic tablet that has completed phase III clinical trials. (See “Designing devices for real-world care,” below.) Traverso has cofounded 11 startups to carry such innovations out of the lab and into the world, each tailored to the technology and patient population it serves.

But the products are only part of the story. What distinguishes Traverso’s approach is the way those products are conceived and built. In many research groups, initial discoveries are developed into early prototypes and then passed on to other teams—sometimes in industry, sometimes in clinical settings—for more advanced testing and eventual commercialization. Traverso’s lab typically links those steps into one continuous system, blending invention, prototyping, testing, iteration, and clinical feedback as the work of a single interdisciplinary team. Engineers sit shoulder to shoulder with physicians, materials scientists with microbiologists. On any given day, a researcher might start the morning discussing an animal study with a veterinarian, spend the afternoon refining a mechanical design, and close the day in a meeting with a regulatory expert. The setup collapses months of back-and-forth between separate teams into the collaborative environment of L4TE.

“This is a lab where if you want to learn something, you can learn everything if you want,” says Troy Ziliang Kang, one of the research scientists. 

In a field where translating scientific ideas into practical applications can take years (or stall indefinitely), Traverso has built a culture designed to shorten that path.

The range of problems the lab tackles reflects its interdisciplinary openness. One recent project aimed to replace invasive contraceptive devices such as vaginal rings with a biodegradable injectable that begins as a liquid, solidifies inside the body, and dissolves safely over time. 

Another project addresses the challenge of delivering drugs directly to the gut, bypassing the mucus barrier that blocks many treatments. For Kang, whose grandfather died of gastric cancer, the work is personal. He’s developing devices that combine traditional drugs with electroceuticals—therapies that use electrical stimulation to influence cells or tissues.

“What I’m trying to do is find a mechanical approach, trying to see if we can really, through physical and mechanical approaches, break through those barriers and to deliver the electroceuticals and drugs to the gut,” he says.

In a field where the process of translating scientific ideas into practical applications can take years (or stall indefinitely), Traverso, 49, has built a culture designed to shorten that path. Researchers focus on designing devices with the clinical relevance to help people in the near term.  And they don’t wait for outsiders to take an idea forward. They often initiate collaborations with entrepreneurs, investors, and partners to create startups or push projects directly into early trials—or even just do it themselves. The projects in the L4TE Lab are ambitious, but the aim is simple: Solve problems that matter and build the tools to make those solutions real.

Nabil Shalabi, an instructor in medicine at Harvard/BWH, an associate scientist at the Broad Institute, and a research affiliate in Traverso’s lab, sums up the attitude succinctly: “I would say this lab is really about one thing, and it’s about helping people.”

The physician-inventor

Traverso’s path into medicine and engineering began far from the hospitals and labs where he works today. Born in Cambridge, England, he moved with his family to Peru when he was still young. His father had grown up there in a family with Italian roots; his mother came from Nicaragua. He spent most of his childhood in Lima before political turmoil in Peru led his family to relocate to Toronto when he was 14.

In high school, after finishing most of his course requirements early, he followed the advice of a chemistry teacher and joined a co-op program that would give him a glimpse of some career options. That decision brought him to a genetics lab at the Toronto Hospital for Sick Children, where he spent his afternoons helping map chromosome 7 and learning molecular techniques like PCR.

“In high school, and even before that, I always enjoyed science,” Traverso says.

After class, he’d ride the subway downtown and step into a world of hands-on science, working alongside graduate students in the early days of genomics.

“I really fell in love with the day-to-day, the process, and how one goes about asking a question and then trying to answer that question experimentally,” he says.

By the time he finished high school, he had already begun to see how science and medicine could intersect. He began an undergraduate medical program at Cambridge University, but during his second year, he reached out to the cancer biologist Bert Vogelstein and joined his lab at Johns Hopkins for the summer. The work resonated. By the end of the internship, Vogelstein asked if he’d consider staying to pursue a PhD. Traverso agreed, pausing his medical training after earning an undergraduate degree in medical sciences and genetics, and moved to Baltimore to begin a doctorate in molecular biology.

As a PhD student, he focused on the early detection of colon cancer, developing a method to identify mutations in stool samples—a concept later licensed by Exact Sciences and used in what is now known as the Cologuard test. After completing his PhD (and earning a spot on Technology Review’s 2003 TR35 list of promising young innovators for that work), he returned to Cambridge to finish medical school and spent the next three years in the UK, including a year as a house officer (the equivalent of a clinical intern in the US).

Traverso chose to pursue clinical training alongside research because he believed each would make the other stronger. “I felt that having the knowledge would help inform future research development,” he says.

inset image of a hand holding a capsule; main image the hand is holding a star shaped object
An ingestible drug-releasing capsule about the size of a multivitamin expands into a star shape once inside the patient’s stomach.
JARED LEEDS

So in 2007, as Traverso began a residency in internal medicine at Brigham and Women’s, he also approached MIT, where he reached out to Institute Professor Robert Langer, ScD ’74. Though Traverso didn’t have a background in Langer’s field of chemical engineering, he saw the value of pairing clinical insight with the materials science research happening in the professor’s lab, which develops polymers, nanoparticles, and other novel materials to tackle biomedical challenges such as delivering drugs precisely to diseased tissue or providing long-term treatment through implanted devices. Langer welcomed him into the group as a postdoctoral fellow.

In Langer’s lab, he found a place where clinical problems sparked engineering solutions, and where those solutions were designed with the patient in mind from the outset. Many of Traverso’s ideas came directly from his work in the hospital: Could medications be delivered in ways that make it easier for patients to take them consistently? Could a drug be redesigned so it wouldn’t require refrigeration in a rural clinic? And caring for a patient who’d swallowed shards of glass that ultimately passed without injury led Traverso to recognize the GI tract’s tolerance for sharp objects, inspiring his work on the microneedle pill.

“A lot of what we do and think about is: How do we make it easier for people to receive therapy for conditions that they may be suffering from?” Traverso says. How can they “really maximize health, whether it be by nutrient enhancement or by helping women have control over their fertility?” 

If the lab sometimes runs like a startup incubator, its founder still thinks like a physician.

Scaling up to help more people

Traverso has cofounded multiple companies to help commercialize his group’s inventions. Some target global health challenges, like developing more sustainable personal protective equipment (PPE) for health-care workers. Others take on chronic conditions that require constant dosing—HIV, schizophrenia, diabetes—by developing long-­acting oral or injectable therapies.

From the outset, materials, dimensions, and mechanisms are chosen for more than just performance in the lab. The researchers also consider the realities of regulation, manufacturing constraints, and safe use in patients.

“We definitely want to be designing these devices to be made of safe materials or [at a] safe size,” says James McRae, SM ’22, PhD ’25. “We think about these regulatory constraints that could come up in a company setting pretty early in our research process.” As part of his PhD work with Traverso, McRae created a “swallow-­and-forget” health-tracking capsule that can stay in the stomach for months—and it doesn’t require surgery to install, as an implant would. The capsule measures tiny shifts in stomach temperature that happen whenever a person eats or drinks, providing a continuous record of eating patterns that’s far more reliable than what external devices or self-reporting can capture. The technology could offer new insight into how drugs such as Ozempic and other GLP-1 therapies change behavior—something that has been notoriously hard to monitor. From “day one,” McRae made sure to involve external companies and regulatory consultants for future human testing.

Traverso describes the lab’s work as a “continuum,” likening research projects to children who are born, nurtured, and eventually sent into the world to thrive and help people.

Traverso and his team developed a device that can adhere to soft, wet surfaces. The design was inspired by studies of a sucker fish that attaches to sharks and other marine animals.
COURTESY OF THE RESEARCHERS

For lab employee Matt Murphy, a mechanical engineer who manages one of the main mechanical fabrication spaces, that approach is part of the draw. Having worked with researchers on projects spanning multiple disciplines—mechanical engineering, electronics, materials science, biology—he’s now preparing to spin out a company with one of Traverso’s postdocs. 

“I feel like I got the PhD experience just working here for four years and being involved in health projects,” he says. “This has been an amazing opportunity to really see the first stages of company formation and how the early research really drives the commercialization of new technology.”

The lab’s specialized “cores” ensure that projects have consistent support and can draw on plenty of expertise, regardless of how many students or postdocs come and go. If a challenge arises in an area in which a lab member has limited knowledge, chances are someone else in the lab has that background and will gladly help. “The culture is so collaborative that everybody wants to teach everybody,” says Murphy.

Creating opportunities 

In Traverso’s lab, members are empowered to pursue technically demanding research because the culture he created encourages them to stretch into new disciplines, take ownership of projects, and imagine where their work might go next. For some, that means cofounding a company. For others, it means leaving with the skills and network to shape their next big idea.

“He gives you both the agency and the support,” says Isaac Tucker, an L4TE postdoc based at the Broad Institute. “Gio trusts the leads in his lab to just execute on tasks.” McRae adds that Traverso is adept at identifying “pain points” in research and providing the necessary resources to remove barriers, which helps projects advance efficiently. 

A project led by Kimberley Biggs, another L4TE postdoc, captures how the lab approaches high-stakes problems. Funded by the Gates Foundation, Biggs is developing a way to stabilize therapeutic bacteria used for neonatal and women’s health treatments so they remain effective without refrigeration—critical for patients in areas without reliable temperature-controlled supply chains. A biochemist by training, she had never worked on devices before joining the lab, but she collaborated closely with the mechanical fabrication team to embed her bacterial therapy for conditions such as bacterial vaginosis and recurrent urinary tract infections into an intravaginal ring that can release it over time. She says Traverso gave her “an incredible amount of trust” to lead the project from the start but continued to touch base often, making sure there were “no significant bottlenecks” and that she was meeting all the goals she wanted to meet to progress in her career.

Traverso encourages collaboration by putting together project teams that combine engineers, physicians, and scientists from other fields—a strategy he says can be transformative. 

“If you only have one expert, they are constrained to what they know,” he explains. But “when you bring an electrical engineer together with a biologist or physician, the way that they’ll be able to see the problem or the challenge is very different.” As a result, “you see things that perhaps you hadn’t even considered were possible,” he says. Moving a project from a concept to a successful clinical trial “takes a village,” he adds. It’s a “complex, multi-step, multi-person, multi-year” process involving “tens if not hundreds of millions of dollars’ worth of effort.”

Good ideas deserve to be tested

The portion of Traverso’s lab housed at the “tough tech” incubator The Engine—and the only academic group working there—occupies a 30-bench private lab alongside shared fabrication spaces, heavy machinery, and communal rooms of specialized lab equipment. The combination of dedicated and shared resources has helped reduce some initial equipment expenses for new projects, while the startup-dense environment puts potential collaborators, venture capital, and commercialization pathways within easy reach. Biggs’s work on bacterial treatments is one of the lab’s projects at The Engine. Others include work to develop electronics for capsule-based devices and an applicator for microneedle patches.

Traverso’s philosophy is to “fail well and fail fast and move on.”

The end of one table houses “blue sky” research on a topic of long-standing interest to Traverso: pasta. Led by PhD student Jack Chen, the multi-pronged project includes using generative AI to help design new pasta shapes with superior sauce adhesion. Chen and collaborators ranging from executive chefs to experts in fluid dynamics apply the same analytical rigor to this research that they bring to medical devices. It’s playful work, but it’s also a microcosm of the lab’s culture: interdisciplinary to its core, unafraid to cross boundaries, and grounded in Traverso’s belief that good ideas deserve to be tested—even if they fail.

“I’d say the majority of things that I’ve ever been involved in failed,” he says. “But I think it depends on how you define failure.” He says that most of the projects he worked on for the first year and a half of his own PhD either just “kind of worked” or didn’t work at all—causing him to step back and take a different approach that ultimately led him to develop the highly effective technique now used in the Cologuard test. “Even if a hypothesis that we had didn’t work out, or didn’t work out as we thought it might, the process itself, I think, is valuable,” he says. So his philosophy is to “fail well and fail fast and move on.”

hand holding a spherical metal object
A tiny capsule that delivers a burst of medication directly into the GI tract offers an alternative to injections.
JARED LEEDS

In practice, that means encouraging students and postdocs to take on big, uncertain problems, knowing a dead end isn’t the end of their careers—just an opportunity to learn how to navigate the next challenge better.

McRae remembers when a major program—two or three years in the making—abruptly changed course after its sponsor shifted priorities. The team had been preparing a device for safety testing in humans; suddenly, the focus on that goal was gone. Rather than shelving the work, Traverso urged the group to use it as an opportunity to “be a little more creative again” and explore new directions, McRae says. That pivot sparked his work on an autonomous drug delivery system, opening lines of research the team hadn’t pursued before. In this system, patients swallow two capsules that interact in the stomach. When a sensor capsule detects an abnormal signal, it directs a second capsule to release a drug.

“He will often say, ‘I have a focus on not wasting time. Time is something that you can’t buy back. Time is something that you can’t save and bank for later.’”

Kimberley Biggs

“When things aren’t working, just make sure they didn’t work and you’re confident why they didn’t work,” Traverso says he tells his students. “Is it the biology? Is it the materials science? Is it the mechanics that aren’t just aligning for whatever reason?” He models that diagnostic mindset—and the importance of preserving momentum. 

“He will often say, ‘I have a focus on not wasting time. Time is something that you can’t buy back. Time is something that you can’t save and bank for later,’” says Biggs. “And so whenever you do encounter some sort of bottleneck, he is so supportive in trying to fix that.” 

Traverso’s teaching reflects the same interplay between invention, risk, and real-world impact. In Translational Engineering, one of his graduate-level courses at MIT, he invites experts from the FDA, hospitals, and startups to speak about the realities of bringing medical technology to the world.

“He shared his network with us,” says Murphy, who took the course while working in the lab. “Now that I’m trying to spin out a company, I can reach out to these people.” 

Although he now spends most of his time on research and teaching, Traverso maintains an inpatient practice at the Brigham, participating in the consult service—a team of gastroenterology fellows and medical students supervising patient care—for several weeks a year. Staying connected to patients keeps the problems concrete and helps guide decisions on which puzzles to tackle in the lab.

“I think there are certain puzzles in front of us, and I do gravitate to areas that have a solution that will help people in the near term,” he says.

For Traverso, the measure of success is not the complexity of the engineering but the efficacy of the result. The goal is always a therapy that works for the people who need it, wherever they are. 

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AI dominates Gartner’s top strategic technology trends for 2026

“AI supercomputing platforms integrate CPUs, GPUs, AI ASICs, neuromorphic and alternative computing paradigms, enabling organizations to orchestrate complex workloads while unlocking new levels of performance, efficiency and innovation. These systems combine powerful processors, massive memory, specialized hardware, and orchestration software to tackle data-intensive workloads in areas like machine learning, simulation,

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IBM signs up Groq for speedy AI inferencing option

The technology involved in the partnership will let customers use watsonx capabilities in a familiar way and allow them to use their preferred tools while accelerating inference with GroqCloud, IBM stated. “This integration will address key AI developer needs, including inference orchestration, load balancing, and hardware acceleration, ultimately streamlining the

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Wi-Fi 8 is coming and it’s going to make AI a lot faster

Traditional Wi-Fi optimizes for 90/10 download-to-upload ratios. AI applications push toward 50/50 symmetry. Voice assistants, edge AI processing and sensor data all require consistent uplink capacity. “AI traffic looks different,” Szymanski explained. “It’s increasingly symmetric, with heavy uplink demands from these edge devices. These devices are pushing all this data

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Strategists Expect WoW USA Crude Inventory Drop

In a report sent to Rigzone by the Macquarie team late Monday, Macquarie strategists, including Walt Chancellor, revealed that they are forecasting that U.S. crude inventories will be down by 2.5 million barrels for the week ending October 17. “This follows a 3.5 million barrel build in the prior week, with the crude balance realizing modestly tighter than our expectations,” the strategists said in the report. “For this week’s balance, from refineries, we model an increase in crude runs (+0.3 million barrels per day) following a surprisingly weak print last week; turnaround timing represents a source of meaningful potential variability in this week’s stats,” they added. “Among net imports, we model a moderate reduction, with exports higher (+0.6 million barrels per day) and imports up slightly (+0.1 million barrels per day) on a nominal basis,” they continued. The strategists also warned in the report that the timing of cargoes remains a source of potential volatility in this week’s crude balance. “From implied domestic supply (prod.+adj.+transfers), we look for a slight decrease (-0.1 million barrels per day) on a nominal basis this week,” the strategists went on to note. “Rounding out the picture, we anticipate a slightly larger increase (+0.9 million barrels) in SPR [Strategic Petroleum Reserve] stocks this week,” they added. The strategists stated in the report that, “among products”, they “look for draws in gasoline (-4.0 million barrels) and distillate (-1.2 million barrels), with a build in jet (+0.5 million barrels)”. “We model implied demand for these three products at ~14.4 million barrels per day for the week ending October 17,” the strategists added. In its latest weekly petroleum status report at the time of writing, which was released on October 16 and included data for the week ending October 10, the U.S. Energy Information Administration (EIA) highlighted that

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Egypt Seeks to Free Up Gas for Export

Egypt is embarking on a plan to buy more oil products for power generation as the cash-strapped North African nation frees up gas for LNG exports, as part of efforts to repay money it owes to foreign operators. State-owned Egyptian General Petroleum Corp. plans to buy more than a million tons of diesel, gasoline and butane gas for delivery in November, up 60 percent from the same period last year, according to people familiar with the matter, who asked not to be identified as they’re not authorized to speak to the media. Egypt’s energy ministry didn’t respond to a request for comment. Egypt is seeking to encourage renewed investment by foreign energy companies, which have reduced financing in the country after years of waiting for the government to repay money it owes them. Declining domestic gas output amid surging local demand led Egypt to become a net importer of liquefied natural gas last year in order to avoid blackouts. That has added new financing strains on the government which is emerging from its worst economic crisis in decades. To break this cycle, Cairo decided to allow foreign energy operators to export their share of local gas production as LNG as a way to get their arrears paid and to go ahead with investments in Egypt’s gas output. Three LNG cargoes have been exported since September, including one that the government said was shipped from Egypt’s Idku terminal on behalf of Shell Plc. The government is now in talks with the foreign energy companies to allow them to produce volumes for two shipments every month for loading between November and March from Idku, according to the people.  Egypt’s production of crude oil and condensate fell to 486,000 barrels a day in July, the lowest in decades, according to data from Joint Oil

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Woodside Bumps Up Production Projection for 2025

Woodside Energy Group Ltd has raised its projected 2025 production from 188-195 million barrels of oil equivalent (MMboe) to 192-197 MMboe due to “continued strong performance across assets”. The Australian company saw a one percent increase in output in the third quarter, totaling 50.8 MMboe or 552,000 barrels of oil equivalent a day, according to a stock filing Wednesday. Production consisted of 1.83 billion standard cubic feet a day (Bscfd) of natural gas and 231,000 barrels per day (bpd) of liquids. The increase comes despite Woodside’s sale of producing oil and gas assets in Greater Angostura in Trinidad and Tobago to Perenco, completed in the quarter. Woodside reported 13,000 barrels of oil production and 242,000 oil-equivalent barrels of pipeline gas in Trinidad and Tobago in the July-September period, down from 93,000 barrels and 2.21 MMboe in the prior quarter respectively. In Australia Woodside produced 34.86 MMboe, up from 32.45 MMboe. Australian LNG and piped gas production totaled 20.9 MMboe and 7.85 MMboe respectively, up from 18.9 MMboe and 7.63 MMboe respectively. Australian crude and condensate production stood at 4.94 MMboe, up from 4.92 MMboe. All of Woodside’s liquefaction facilities – North West Shelf, Pluto and Wheatstone – increased output quarter-on-quarter. Pluto achieved 100 percent reliability. At North West Shelf, Woodside completed planned maintenance offshore at North Rankin and onshore at the Karratha Gas Plant. Woodside increased sales one percent quarter-over-quarter to 55 MMboe, consisting of 2.12 Bscfd of gas and 226,000 bpd of liquids. Revenue totaled $3.36 billion, up from $3.28 billion. While realized prices for LNG and East Coast and international piped gas fell, the average realized price rose two percent, “reflecting higher Dated Brent and West Texas Intermediate”, Woodside said. “We continued safe delivery of Woodside’s major growth projects to schedule and budget”, said chief executive Meg O’Neill. “Strong momentum

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NNPC Produced 1.4 MMbpd in First 9 Months

Nigerian National Petroleum Co Ltd (NNPC) averaged 1.37 million barrels per day (MMbpd) in crude production in the first three quarters, according to provisional figures published by the state-owned company on Tuesday. September’s oil output of 1.37 MMbpd represented the third consecutive month of decline, according to NNPC’s monthly report. Oil and condensate production totaled 1.61 MMbpd last month, with condensate accounting for 240,000 bpd. NNPC’s peak oil and condensate production in 2025 so far was 1.77 MMbpd. NNPC sold 17.81 million barrels of crude September, down for the second consecutive month. Its natural gas production and sales stood at 6.28 billion standard cubic feet a day (Bscfd) and 3.44 Bscfd in September respectively, both down for the second consecutive month. “Production levels during the period were temporarily moderated due to planned maintenance activities including those at NLNG alongside the phased recovery of previously shut-in assets and delays in the commencement of operations at OMLs 71 and 72”, the report said. NNPC reported a 77 percent petrol availability at its stations. NNPC’s upstream pipeline availability was 96 percent. NNPC logged NGN 4.27 trillion ($2.91 billion) in revenue for September. Profit after tax was NGN 216 billion. The company reported “statutory payments” of NGN 10.07 trillion. On the Ajaokuta-Kaduna-Kano Gas Pipeline project, the report said, “Sustained focus is being directed towards completion of the mainline works with substantial progress being recorded”. NNPC said in a press release July 1 the project was on track for completion by yearend. On the Obiafu-Obrikom-Oben (OB3) Gas Pipeline project, the report said the execution plan was being revised “to ensure delivery within target timelines”. “113km portion of OB3 Gas Pipeline has been commissioned and flowing circa 300 MMscfd of gas”, the report added. In other developments, Shell PLC earlier this month announced a final investment

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Oil Rises on U.S. Reserve Refill

Oil eked out a gain with Washington planning on buying 1 million barrels of crude for the national stockpile, but held near a five-month low on expectations of a looming global surplus. West Texas Intermediate traded in a more than $1 range before settling near $58 a barrel. Although the US plan to refill the Strategic Petroleum Reserve supported prices, it wasn’t enough to shift sentiment in a market that has declined by more than 10% since late September. WTI futures are on course for a third monthly loss. The amount of crude on tankers at sea has risen to a record high, signaling that a long-anticipated surplus may have started to materialize, while time spreads are starting to signal ample supply. The International Energy Agency expects world oil inventories to exceed demand by almost 4 million barrels a day next year as OPEC+ and some countries outside the alliance ramp up output, likely in a bid to recapture market share. “We’ve got supply growth running three times faster than demand growth,” Bob McNally, founder and president of Rapidan Energy Group, said in an interview on Bloomberg Television. “Near-term we have a glut.” Commodity trading advisers, meanwhile, could potentially reach a maximum-short position in the next few sessions, helping send prices lower, according to data from Bridgeton Research Group. The robot traders are currently 91% short in both Brent and WTI, and could accelerate if futures fall by roughly 1%, the firm added. Traders are also keeping an eye on relations between the US and China, the world’s top producer and consumer of oil. US President Donald Trump again signaled that an expected meeting with counterpart Xi Jinping in South Korea next week might not materialize. The US benchmark crude future’s November expiry on Tuesday also contributed to choppy trading.

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Energy Department Approves Final Export Authorization for Venture Global CP2 LNG

WASHINGTON — U.S. Secretary of Energy Chris Wright today signed the final export authorization for the Venture Global CP2 LNG Project in Cameron Parish, Louisiana, allowing exports of up to 3.96 billion cubic feet per day of U.S. natural gas as liquefied natural gas (LNG) to non-Free Trade Agreement (FTA) countries. “In less than ten months, President Trump’s administration is redefining what it means to unleash American energy by approving record new LNG exports,” said Kyle Haustveit, Assistant Secretary of the Office of Fossil Energy. “Finalizing the non-FTA authorization for CP2 LNG will enable secure and reliable American energy access for our allies and trading partners, while also providing well-paid jobs and economic opportunities at home.” Today’s authorization follows the Department’s conditional authorization to CP2 LNG in March 2025 and reflects the Federal Energy Regulatory Commission’s May 2025 decision approving the siting, construction, and operation of the facility. It also incorporates DOE’s May 2025 response to comments on the 2024 LNG Export Study, which reaffirmed that U.S. LNG exports strengthen America’s energy leadership, expand opportunities for American workers, and provide our allies with secure access to reliable U.S. energy. On day one, President Trump directed the Energy Department to end the Biden administration’s LNG export pause and to resume the consideration of pending applications to export LNG to countries without a free trade agreement (FTA). Under President Trump’s leadership, DOE has authorized more than 13.8 Bcf/d of LNG exports—greater than the volume exported today by the world’s second-largest LNG supplier. Today, U.S. exports are approximately 15 billion cubic feet per day (Bcf/d), an increase of approximately 25% from 2024 levels.

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AI gold rush sparks backlash against Core Scientific acquisition

Meanwhile, in a release issued last week, CoreWeave stated, “it has been unequivocal — to Core Scientific and publicly — that we will not modify our offer. Our offer is best and final.” Alvin Nguyen, senior analyst at Forrester Research, said what happens next with the overall data center market “depends on when AI demand slows down (when the AI bubble bursts).” He added, “if AI demand continues, prices continue to go up, and data centers change in terms of preferred locations (cooler climates, access to water, lots of space, more remote), use of microgrids/energy production, expect [major] players to continue to dominate.” However, said Nguyen, “if that slowdown is soon, then prices will drop, and the key players will need to either unload property or hold onto them until AI demand builds back up.” Generational shift occurring Asked what the overall effect of AI will be on CIOs in need of data center capacity, he said, “the new AI mega-factories alter data center placement: you don’t put them near existing communities because they demand too much power, water, land, you build them somewhere remote, and communities will pop up around them.” Smaller data centers, said Nguyen, “will still consume power and water in contention with their neighbors (industrial, commercial, and residential), potential limiting their access or causing costs to rise. CIOs and Network World readers should evaluate the trade offs/ROI of not just competing for data center services, but also for being located near a new data center.”

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Why cloud and AI projects take longer and how to fix the holdups

No. 2 problem: Unrealistic expectations lead to problematic requirements Early planning and business case validation show that the requirements set for the project can’t be met, which then requires a period of redefinition before real work can start. This situation – reported by 69% of enterprises – leads to an obvious question: Is it the requirements or the project that’s the problem? Enterprises who cite this issue say it’s the former, and that it’s how the requirements are set that’s usually the cause. In the case of the cloud, the problem is that senior management thinks that the cloud is always cheaper, that you can always cut costs by moving to the cloud. This is despite the recent stories on “repatriation,” or moving cloud applications back into the data center. In the case of cloud projects, most enterprise IT organizations now understand how to assess a cloud project for cost/benefit, so most of the cases where impossible cost savings are promised are caught in the planning phase. For AI, both senior management and line department management have high expectations with respect to the technology, and in the latter case may also have some experience with AI in the form of as-a-service generative AI models available online. About a quarter of these proposals quickly run afoul of governance policies because of problems with data security, and half of this group dies at this point. For the remaining proposals, there is a whole set of problems that emerge. Most enterprises admit that they really don’t understand what AI can do, which obviously makes it hard to frame a realistic AI project. The biggest gap identified is between an AI business goal and a specific path leading to it. One CIO calls the projects offered by user organizations as “invitations to AI fishing

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Riverbed tackles AI data bottleneck with new Oracle-based service

“Customers are looking for faster, more secure ways to move massive datasets so they can bring AI initiatives to life,” said Sachin Menon, Oracle’s vice president of cloud engineering, in a statement. “With Riverbed Data Express Service deployed on OCI, organizations will be able to accelerate time to value, reduce costs, and help ensure that their data remains protected.” Riverbed’s Aras explains that its Data Express Service uses post-quantum cryptography (PQC) to move petabyte-scale datasets through secure VPN tunnels to ensure that customer data remains protected during the transfer process. The technology is based on Riverbed’s SteelHead acceleration platform running RiOS 10 software. “Our cloud-optimized technology design delivers much higher data retrieval, data movement across the network, and data write rates, through highly performant data mover instances, instance parallelization and matched network fabric configurations. The design is tailored for each cloud, to ensure maximal performance can be achieved using cloud-specific product adjustments,” Aras says. “The time for preventing harvest-now, decrypt-later is now,” Aras says, referring to the security threat where encrypted data is intercepted and stored for decryption once quantum computers become powerful enough. The Riverbed service addresses use cases spanning AI model training, inference operations, and emerging agentic AI applications. Data Express is initially deployed on Oracle Cloud Infrastructure, but Riverbed said the service will orchestrate data movement across AWS, Azure, and Google Cloud Platform, as well as on-premises data centers. General availability is planned for Q4 2025.

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Roundup: Digital Realty Marks Major Milestones in AI, Quantum Computing, Data Center Development

Key features of the DRIL include: • High-Density AI and HPC Testing. The DRIL supports AI and high-performance computing (HPC) workloads with high-density colocation, accommodating workloads up to 150 kW per cabinet. • AI Infrastructure Optimization. The ePlus AI Experience Center lets businesses explore AI-specific power, cooling, and GPU resource requirements in an environment optimized for AI infrastructure. • Hybrid Cloud Validation. With direct cloud connectivity, users can refine hybrid strategies and onboard through cross connects. • AI Workload Orchestration. Customers can orchestrate AI workloads across Digital Realty’s Private AI Exchange (AIPx) for seamless integration and performance. • Latency Testing Across Locations. Enterprises can test latency scenarios for seamless performance across multiple locations and cloud destinations. The firm’s Northern Virginia campus is the primary DRIL location, but companies can also test latency scenarios between there and other remote locations. DRIL rollout to other global locations is already in progress, and London is scheduled to go live in early 2026. Digital Realty, Redeployable Launch Pathway for Veteran Technical Careers As new data centers are created, they need talented workers. To that end, Digital Realty has partnered with Redeployable, an AI-powered career platform for veterans, to expand access to technical careers in the United Kingdom and United States. The collaboration launched a Site Engineer Pathway, now live on the Redeployable platform. It helps veterans explore, prepare for, and transition into roles at Digital Realty. Nearly half of veterans leave their first civilian role within a year, often due to unclear expectations, poor skill translation, and limited support, according to Redeployable. The Site Engineer Pathway uses real-world relevance and replaces vague job descriptions with an experience-based view of technical careers. Veterans can engage in scenario-based “job drops” simulating real facility and system challenges so they can assess their fit for the role before applying. They

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BlackRock’s $40B data center deal opens a new infrastructure battle for CIOs

Everest Group partner Yugal Joshi said, “CIOs are under significant pressure to clearly define their data center strategy beyond traditional one-off leases. Given most of the capacity is built and delivered by fewer players, CIOs need to prepare for a higher-price market with limited negotiation power.” The numbers bear this out. Global data center costs rose to $217.30 per kilowatt per month in the first quarter of 2025, with major markets seeing increases of 17-18% year-over-year, according to CBRE. Those prices are at levels last seen in 2011-2012, and analysts expect them to remain elevated. Gogia said, “The combination of AI demand, energy scarcity, and environmental regulation has permanently rewritten the economics of running workloads. Prices that once looked extraordinary have now become baseline.” Hyperscalers get first dibs The consolidation problem is compounded by the way capacity is being allocated. North America’s data center vacancy rate fell to 1.6% in the first half of 2025, with Northern Virginia posting just 0.76%, according to CBRE Research. More troubling for enterprises: 74.3% of capacity currently under construction is already preleased, primarily to cloud and AI providers. “The global compute market is no longer governed by open supply and demand,” Gogia said. “It is increasingly shaped by pre-emptive control. Hyperscalers and AI majors are reserving capacity years in advance, often before the first trench for power is dug. This has quietly created a two-tier world: one in which large players guarantee their future and everyone else competes for what remains.” That dynamic forces enterprises into longer planning cycles. “CIOs must forecast their infrastructure requirements with the same precision they apply to financial budgets and talent pipelines,” Gogia said. “The planning horizon must stretch to three or even five years.”

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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