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New Scientist

MIT researchers have developed a power-free, water-collecting device that extracted a glass of clean water from the air in Death Valley, California, suggesting that “the device could provide the vital resource to arid regions,” reports Alex Wilkins for New Scientist.“Because the design of this device is quite a compact structure, we believe that an even larger area of the device can supply the drinking water for a household for daily consumption,” explains Prof. Xuanhe Zhao.

The Guardian

Guardian reporter Ian Sample highlights how graduate student Alex Kachkine has developed a new approach to restoring age-damaged artwork in hours“The technique draws on artificial intelligence and other computer tools to create a digital reconstruction of the damaged painting,” explains Sample. “This is then printed on to a transparent polymer sheet that is carefully laid over the work.” 

Nature

Graduate student Alex Kachkine speaks with Nature reporter Amanda Heidt about his work developing a new restoration method for restoring damaged artwork. The method uses “digital tools to create a ‘mask’ of pigments that can be printed and varnished onto damaged paintings,” explains Heidt. The method “reduces both the cost and time associated with art restoration and could one day give new life to many of the paintings held in institutional collections — perhaps as many as 70% — that remain hidden from public view owing to damage.” 

Nature

Nature spotlights graduate student Alex Kachkine – an engineer, art collector and art conservator – on his quest to develop a new AI-powered, art restoration method, reports Geoff Marsh for Nature. “My hope is that conservators around the planet will be able to use these techniques to restore paintings that have never been seen by the general public,” says Kachkine. “Many institutions have paintings that arrived at them a century ago, have never been shown because they are so damaged and there are no resources to restore them. And hopefully this technique means we will be able to see more of those publicly.” 

The Boston Globe

Katie Rae, Engine CEO and managing partner, Smyon Dukach SM '92 and Brian Halligan MBA '05 have been named to the 2025 Boston Globe list of Tech Power Players in the venture capital sector, reports Aaron Pressman for The Boston Globe. 

The Boston Globe

Georgina Campbell Flatter SM '11, Carmichael Roberts MBA '00 and Elise Strobach SM '17, PhD '20 are among the 2025 Boston Globe Tech Power Players in the sustainability sector, reports Jon Chesto for The Boston Globe

The Boston Globe

Aman Narang '04, Meng '06, co-founder of Toast, has been named one of the 2025 Boston Globe Tech Power Players for his work in the software and cloud sector, reports Aiden Ryan for The Boston Globe

The Boston Globe

Prof. Dirk Englund, co-founder of QuEra, has been named one of the 2025 Boston Globe Tech Power Players for his work focused on quantum computing sector, reports Aaron Pressman for The Boston Globe. Pressman notes that at QuEra, “researchers are working to advance quantum computing from the theoretical to the practical.”

The Boston Globe

Sloan lecturer Mikey Shulman, Colin Angle '89, SM '90, Tye Brady SM '99, Laira Major SM '05, Dharmesh Shah SM '06 have been named to the 2025 Boston Globe Tech Power Players list for their work in the applied AI sector, reports Hiawatha Bray for The Boston Globe

The Boston Globe

Prof. Yet-Ming Chiang, Shreya Dave '09, SM ’12, PhD '16, Bob Mumgaard SM '15, PhD '15 and Sloan alumna Emily Reichert have been named to the 2025 Boston Globe Tech Power Players list for their efforts in the energy sector, reports Hiawatha Bray for The Boston Globe. Chiang emphasizes the importance of federal funding in advancing scientific research. “My entire career has been supported by US taxpayers,” Chiang says. “The ability to give back and develop technologies and create jobs, that’s a big motivator for me.”

The Boston Globe

Boston Globe reporter Emily Spatz spotlights how a number of key technologies – including the internet and the first widely used electronic navigation system – were developed by MIT researchers with the support of federal funding. The development of the internet has “MIT’s fingerprints all over it,” Prof. John Guttag emphasizes. Prof. David Mindell explains: “Federal funding for these ecosystems has been enormously important over a long time period.” Mindell adds that GPS alone probably “generated more economic value” over a 40-year period than the budgets of the government agencies that helped launch the navigational system.

The Boston Globe

Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani have been named to The Boston Globe’s 2025 list of Tech Power Players working in the foundational AI sector, reports Aaron Pressman for The Boston Globe. Rus and Hasani are co-founders of Liquid AI, a startup that has developed “an AI technique with fewer software ‘neurons’ than large language models of OpenAI and others,” explains Pressman. This means “Liquid AI requires less computing power (and electricity.)” 

Chemical & Engineering News

MIT researchers have developed Boltz-2, an AI algorithm “that unites protein folding and prediction of small-molecule binding affinity in one package,” reports Laura Howes for Chemical & Engineering News. “The researchers say their new AI model approaches the level of accuracy achieved by traditional computational chemistry—such as methods involving free-energy perturbation calculations—but much more quickly and cheaply,” explains Howes. 

Fox News

Kurt Knutsson of FOX News spotlights how MIT researchers have developed a new mobile robot, dubbed E-BAR, designed to help physically support the elderly and prevent falls at home. “What stands out about E-BAR is how it's designed with real people in mind, not just as a tech gadget,” Knutsson explains. “It's easy to see how something like this could make a big difference for seniors wanting to stay independent without feeling tied down by bulky or uncomfortable devices.”

Forbes

Researchers at MIT and elsewhere have developed Boltz-2, an open-source generative AI model that can help researchers find new medicines faster, reports Alex Knapp for Forbes. The tool “can not only predict the structure of proteins, it can also predict its binding affinity–that is, how well a potential drug is able to interact with that protein,” explains Knapp. “This is crucial in the early stages of developing a new medicine.”