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In the Media

Displaying 15 news clips on page 55

Forbes

Prof. Benjamin Weiss, director of the MIT Paleomagnetism Lab, speaks with Forbes reporter Bruce Dorminey about the use of paleomagnetism to track the geographic origins of stromatolites. Weiss notes that he and his colleagues published a paper examining the magnetization of stromatolites in the Strelley Pool Chert in Australia’s Pilbara region. The team’s measurements show that these stromatolites formed within 8 degrees latitude of the equator, Weiss explains. 

Forbes

Research from the Data Provenance Initiative, led by MIT researchers, has “found that many web sources used for training AI models have restricted their data, leading to a rapid decline in accessible information,” reports Gary Drenik for Forbes

Fast Company

David Zipper, a senior fellow at the Mobility Initative, writes for Fast Company about the future of the electric vehicle market. “With EVs comprising less than one in ten new car purchases, most Americans are still forming their impressions and figuring out how to evaluate them,” writes Zipper. “It remains to be seen whether they’ll ultimately care most about range, engine power, or something else entirely.” 

Forbes

Researchers at MIT have developed a new AI model capable of assessing a patient’s risk of pancreatic cancer, reports Erez Meltzer for Forbes. “The model could potentially expand the group of patients who can benefit from early pancreatic cancer screening from 10% to 35%,” explains Meltzer. “These kinds of predictive capabilities open new avenues for preventive care.” 

Boston Magazine

TSP Smart Spaces, a home automation company founded by Michael Oh '95 has been named to Boston Magazine’s Best of Boston Home 2025 list, reports Jaci Conry, Cheryl Fention, Marni Elyse Katz, Angela Athena Mats, and Stefanie Schwalb for Boston Magazine. TSP Smart Spaces uses “the ideal technology solutions while simultaneously making the user experience simple, comprehensive, and value-driven ensures even the most tech-hesitant homeowner feels automatically savvy,” they write. 

GBH

Prof. Jon Gruber speaks with former Massachusetts Secretary of Public Safety and Security Andrea Cabral and GBH Boston Public Radio host Margery Eagan about the future of health care in the United States. 

Times Higher Education

MIT has been named the No. 1 university on the 2025 Global University Employability Rankings, reports Times of Higher Education. “MIT students, faculty members and alumni play key roles in entrepreneurial innovations, including developing advanced computer networks, securing venture capital transactions and advancing biotechnology,” writes Times Higher Education. 

TechCrunch

Arago, an AI startup co-founded by alumnus Nicolas Muller, has been named to the Future 40 list by Station F, which selects “the 40 most promising startups,” reports Romain Dillet for TechCrunch. Arago is “working on new AI-focused chips that use optical technology at the chipset level to speed up operations,” explains Dillet.

TechCrunch

Neural Magic, an AI optimization startup co-founded by Prof. Nir Shavit and former Research Scientist Alex Matveev, aims to “process AI workloads on processors and GPUs at speeds equivalent to specialized AI chips,” reports Kyle Wiggers for TechCrunch. “By running models on off-the-shelf processors, which usually have more available memory, the company’s software can realize these performance gains,” explains Wiggers. 

Craft in America

Craft in America visits Prof. Erik Demaine and Martin Demaine of CSAIL to learn more about their work with computational origami. “Computational origami is quite useful for the mathematical problems we are trying to solve,” Prof. Erik Demaine explains. “We try to integrate the math and the art together.”

Nature

Prof. Hugh Herr speaks with Nature reporter Fred Schwaller about his work developing bionic limbs. Schwaller notes that “Herr’s research team is focusing on surgical techniques and implants that improve on the electrodes used in current bionic-limb systems, which either penetrate the peripheral nerves or wrap around them.” Herr explains: “We’re reimagining how limbs should be amputated and bionic limbs constructed.” 

New Scientist

Researchers at MIT have developed a robot capable of assembling “building blocks called voxels to build an object with almost any shape,” reports Alex Wilkins for New Scientist. “You can get furniture-scale objects really fast in a very sustainable way, because you can reuse these modular components and ask a robot to reassemble them into different large-scale objects,” says graduate student Alexander Htet Kyaw.

WCVB

WCVB-TV spotlights Captain Wallace Patillo Reed '42, a “meteorologist whose barrier-breaking work allowed pilots to land and dreams to take off.” Reed, who is believed to be the first Black meteorologist in the U.S. armed services, earned a degree in meteorology at MIT before being assigned as the Tuskegee Arm Air Field base weather officer. “You can’t underestimate the importance of a role model,” said Dr. William Ryan, a former professor of climate change at the University of Maryland and Pennsylvania State University, of the significance of Reed’s work.

Financial Times

Research Scientist Nick van der Meulen speaks with Financial Times reporter Bethan Staton about how automation could be used to help employers plug the skills gap. “You can give people insight into how their skills stack up . . . you can say this is the level you need to be for a specific role, and this is how you can get there,” says van der Meulen. “You cannot do that over 80 skills through active testing, it would be too costly.”

New Scientist

Researchers at MIT have developed a new virtual training program for four-legged robots by taking “popular computer simulation software that follows the principles of real-world physics and inserting a generative AI model to produce artificial environments,” reports Jeremy Hsu for New Scientist. “Despite never being able to ‘see’ the real world during training, the robot successfully chased real-world balls and climbed over objects 88 per cent of the time after the AI-enhanced training,” writes Hsu. "When the robot relied solely on training by a human teacher, it only succeeded 15 per cent of the time.”