Prof. Regina Barzilay speaks with The Economist about how AI can help advance medicine in areas such as uncovering new drugs. With AI, “the type of questions that we will be asking will be very different from what we’re asking today,” says Barzilay.
Writing for Nature, graduate student Jelle van der Hilst offers advice on determining whether the data resulting from an experiment is meaningful and useful. “Although in research it is crucial that you don’t fully trust your data until it has been triple-proven and peer-reviewed,” writes van der Hilst, “we do have to gain some operational confidence in our methods and results. Otherwise, crippled by self-doubt, we’d never bring any new research into the world.”
MIT researchers have developed a new implant that in the future could be used to deliver insulin to patients for up to a month, potentially enabling patients to control diabetes without injections, reports Tony Ho Tran for the Daily Beast. In the future, the researchers hope to “develop a device for humans that would be roughly the size of a stick of gum,” writes Tran. “The implant could also be used to deliver things like drugs or proteins to help treat other diseases in humans as well.”
USA Today reporter Zoe Wells spotlights the Mars MOXIE device developed by MIT researchers, which “has already made 122 grams of oxygen, comparable to 10 hours of breathable air for a small dog. MOXIE produced 12 grams of oxygen per hour at 98% purity, which exceeded NASA's original expectations.”
A new study by MIT researchers demonstrates how “machine-learning systems designed to spot someone breaking a policy rule—a dress code, for example—will be harsher or more lenient depending on minuscule-seeming differences in how humans annotated data that were used to train the system,” reports Ananya for Scientific American. “This is an important warning for a field where datasets are often used without close examination of labeling practices, and [it] underscores the need for caution in automated decision systems—particularly in contexts where compliance with societal rules is essential,” says Prof. Marzyeh Ghassemi.
MIT researchers have devised a new carbon capture system that “relies on the reaction between CO2 in flue gas and a fine mist of electrically charged particles,” reports Karmela Padavic-Callaghan for New Scientist. The researchers believe their design could be “95 per cent efficient at capturing carbon dioxide, while measuring less than 4 meters long,” Padavic-Callaghan notes. “Their analysis also showed that the approach would reduce capital costs of adding carbon capture to power plants by about 2.6 times compared with current technology.”
In the 2024 Wall Street Journal/College Pulse ranking, MIT has been honored as one of the best colleges in the United States, reports Emily Sweeney for The Boston Globe. This year’s ranking put a new emphasis “on student outcomes, such as graduation rates and graduate salaries,” explains Sweeney.
MIT has been named one of the top colleges in America in the 2024 Wall Street Journal/College Pulse ranking, report Kevin McAllister and Tom Corrigan for The Wall Street Journal. “The Wall Street Journal/College Pulse ranking emphasizes how much a college improves its students’ chances of graduating on time, and how much it boosts the salaries they earn after graduation,” explain McAllister and Corrigan.
Prof. Regina Barzilay writes for CNN about how AI can impact health care. “Smart AI algorithms, which are trained on large-scale medical data and equipped with powerful computing, can go beyond what is humanly possible, eliminate care delays and reduce the cost of health care,” writes Barzilay.
MIT has been named one of America’s Top Colleges in Forbes’ annual roundup, reports Emma Whitford and Janet Novack for Forbes. The annual list “showcases 500 of the finest U.S. colleges, ranked using data on student success, return on investment and alumni influence,” explain Whitford and Novack.
Forbes reporter Rob Toews spotlights Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani and their work with liquid neural networks. “The ‘liquid’ in the name refers to the fact that the model’s weights are probabilistic rather than constant, allowing them to vary fluidly depending on the inputs the model is exposed to,” writes Toews.
Venti Technologies, which was co-founded by MIT researchers and alumni, is working to build autonomous vehicles for industrial and global supply chain hubs, reports Bruce Rogers for Forbes. “Working with the world's leading port operator provides Venti the opportunity to bring the economics of autonomous vehicles to over 60 ports globally,” writes Rogers. “These ports operate 24/7 requiring 2-3 shifts of human drivers.”
Researchers at MIT and elsewhere have developed a medical device that uses AI to evade scar tissue build up, reports Andrew Paul for Popular Science. “The technology’s secret weapon is its conductive, porous membrane capable of detecting when it is becoming blocked by scar tissue,” writes Paul.
Prof. Jacopo Buongiorno speaks with NBC reporter Catherine Clifford about the future of nuclear energy in the United States. “The US may catch up if the new technologies being developed here — small modular reactors and microreactors above all — will prove to be technically and commercially successful, which is currently uncertain,” says Buongiorno.
In an article he co-authored for Fortune, postdoctoral associate Matthew Hughes explains how extreme heat affects different kinds of machines. “In general, the electronics contained in devices like cellphones, personal computers and data centers consist of many kinds of materials that all respond differently to temperature changes,” they write. “So as the temperature increases, different kinds of materials deform differently, potentially leading to premature wear and failure."