Researchers from MIT and McMaster University used a machine-learning algorithm to identify a new antibiotic that can treat a bacteria that causes deadly infections, reports Maya Yang for The Guardian. The researchers used an “AI algorithm to screen thousands of antibacterial molecules in an attempt to predict new structural classes. As a result of the AI screening, researchers were able to identify a new antibacterial compound which they named abaucin,” writes Yang.
Prof. Marzyeh Ghassemi speaks with NPR host Kate Wells about a decision by the National Eating Disorders Associations to replace their helpline with a chatbot. “I think it's very alienating to have an interactive system present you with irrelevant or what can feel like tangential information,” says Ghassemi.
Prof. Gilbert Strang received a standing ovation after delivering his last lecture after over 60 years of teaching at MIT, reports Saleen Martin for USA Today. “Teaching has been a wonderful life,” wrote Strang in the comments section of his last lecture on YouTube. “I am so grateful to everyone who likes linear algebra and sees its importance. So many universities (and even high schools) now appreciate how beautiful it is and how valuable it is. That movement will continue because it is right.”
Boston.com reporter Eli Curwin spotlights how after 63 years of teaching and over 10 million views of his online lectures, MIT Prof. Gilbert Strang received a standing ovation after delivering his last lecture. Prof. Michel X. Goemans, head of the Department of Mathematics, notes that Strang “has had a tremendous impact on the teaching of mathematics to tens of thousands of students at MIT through his lectures, to countless of students at other academic institutions through his textbooks, and to millions of people all over the globe.”
A study conducted by graduate student Aspen Hopkins and colleagues trained a version of a GPT neural network on the board game Othello “by feeding in long sequences of move in text form”, reports George Musser for Scientific American. “Their model became a nearly perfect player,” writes Musser.
Prof. David Autor speaks with Greg Rosalsky of NPR’s Planet Money about the potential benefits and downsides of AI, sharing his hope that with the right policies in place to help prepare workers AI could be harnessed to help “reinstate the middle class.” Says Autor: "Basically, the middle-skilled workers of the future could be people who have foundational skills in healthcare, in the trades, in travel and services. Then, with the help of AI, they could get really good at these jobs.”
Wired reporter Caitlin Harrington writes that a study by researchers from MIT and Stanford highlights the impact of generative AI tools on workers and raises a “provocative new question: Should the top workers whose chats trained the bot be compensated?”
Soledad O’Brien spotlights how researchers from MIT and Massachusetts General Hospital developed a new artificial intelligence tool, called Sybil, that an accurately predict a patient’s risk of developing lung cancer. “Sybil predicted with 86 to 94 percent accuracy whether a patient would develop lung cancer within a year,” says O’Brien.
Writing for The Los Angeles Times, Institute Prof. Daron Acemoglu and Prof. Simon Johnson make the case that the development of artificial intelligence should be shifted “toward a focus on ‘machine usefulness,’ the idea that computers should primarily enhance human capabilities. But this needs to be combined with an explicit recognition that any resulting productivity gains must be shared with workers, in terms of higher incomes and better working conditions.”
Boston Globe reporter Robert Weisman spotlights Integrated Biosciences, a startup co-founded by MIT researchers that is using artificial intelligence to identify anti-aging drug candidates. “We’re trying to go after aging and aging-associated disorders,” says postdoc Felix Wong. “We all know loved ones who have suffered from some of these conditions.”
Prof. Marzyeh Ghassemi speaks with NPR host Emily Kwong and correspondent Geoff Brumfiel about how artificial intelligence could impact medicine. “When you take state-of-the-art machine-learning methods and systems and then evaluate them on different patient groups, they do not perform equally,” says Ghassemi.
Research from MIT and elsewhere have developed a mobile app that uses computer-vision techniques and AI to detect post-surgery signs of infection as part of an effort to help community workers in Kirehe, a district in Rwanda’s Eastern province, reports Shefali Malhotra for Science. “The researchers are now improving the app so it can be used across more diverse populations such as in Ghana and parts of South America,” writes Malhotra.
Researchers from MIT and elsewhere have tested the impact of generative AI among 5,000 customer service agents within a Fortune 500 software company, reports Jo Constantz for Bloomberg. “The company’s lowest-skilled workers became 35% faster with the tool,” explains Constantz. “The researchers think this was because the AI essentially transferred top performers’ knowledge to less-experienced colleagues through the automatically-generated recommended responses.”
Prof. Danielle Li, graduate student Lindsey Raymond and Stanford University Prof. Erik Brynjolfsson released an “empirical study of the real-world economic effects of new AI systems,” reports Greg Rosalsky for NPR. The researchers found “AI caused a group of workers to become much more productive.” Rosalsky adds that the study also “shines a spotlight on just how powerful AI is, how disruptive it might be, and suggests that this new, astonishing technology could have economic effects that change the shape of income inequality going forward.”