Profs. Daron Acemoglu and Simon Johnson have been awarded the Nobel Prize in economic sciences for their research that “advanced the understanding of economic disparities among countries,” reports Paul Hannon and Justin Lahart for The Wall Street Journal. “I’ll be very happy if this prize contributes to having more awareness of the importance of building better institutions, building better democracy,” said Acemoglu. “I think those are urgent challenges for us.”
AP reporters Daniel Niemann, Mike Corder and Paul Wiseman highlight the work of Profs. Daron Acemoglu and Simon Johnson, who have been honored with the Nobel Prize in economic sciences for their work demonstrating “the importance of societal institutions for a country’s prosperity.” Says Johnson of how AI could impact workers: “AI could either empower people with a lot of education, make them more highly skilled, enable them to do more tasks and get more pay. Or it could be another massive wave of automation that pushes the remnants of the middle down to the bottom.”
Prof. Simon Johnson, one of the recipients of this year’s Nobel Prize in economics, joins the PBS NewsHour to discuss the inspiration for his research, the role of institutions in economies around the world and how technology could be harnessed to create better jobs for all. Johnson notes that through his work with the MIT Shaping the Future of Work Initiative, he and his colleagues hope to “get more good jobs in the United States and around the world.” He adds that in the past, “we have managed things so that technology delivered benefits for a broad cross-section of society. But that's not what we have done in the past four decades. We need a course-correction, and that's what we're going to work on.”
Boston Globe reporter Alexa Gagosz spotlights the work of Profs. Daron Acemoglu and Simon Johnson, recipients of the 2024 Nobel Prize in economics for their research examining global inequality. MIT President Sally Kornbluth called Acemoglu and Johnson, who first stepped foot on MIT’s campus in 1985 as a graduate student, “prolific and influential scholars” whose work “reflects a very MIT interest in making a positive impact in the real world.” Kornbluth added: “Their historical investigations have a great deal to teach us about how and why real societies fail or thrive. And they [have] both become familiar voices in the news, public intellectuals trying to help us all make sense of a tumultuous world.”
Profs. Daron Acemoglu and Simon Johnson PhD '89 have been awarded the 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel for their work explaining the gaps in prosperity between nations and advancing our understanding of inequality, reports Jeanna Smialek for The New York Times. “Reducing the huge differences in income between countries is one of our times’ greatest challenges,” said Jakob Svensson, chairman of the economics prize committee. Thanks to the economists’ “groundbreaking research,” he said, “we have a much deeper understanding of the root causes of why countries fail or succeed.” Acemoglu reacted to winning the prize, noting that: “You dream of having a good career, but this is over and on top of that.”
Researchers at MIT and elsewhere have developed “a new method of 3D printing that uses heat-responsive materials to print multi-color and multi-textured objects in one step,” reports Laura Griffiths for TCT Magazine. “The method has so far been tested using three heat-responsive filaments including a foaming polymer with particles that expand as they are heated, and wood and cork fiber-filled filaments,” explains Griffiths.
Researchers at MIT have found that commercially available AI models, “were more likely to recommend calling police when shown Ring videos captured in minority communities,” reports Kyle Wiggers for TechCrunch. “The study also found that, when analyzing footage from majority-white neighborhoods, the models were less likely to describe scenes using terms like ‘casing the property’ or ‘burglary tools,’” writes Wiggers.
Researchers at MIT have developed GenSQL, a new generative AI system that can be used “to ease answering data science questions,” reports Allison Proffitt for Bio-It World. “Look how much better data science could be if it was easier to use,” says Research Scientist Mathieu Huot. “It’s not perfect yet, but we believe it’s quite an improvement over other options.”
Researchers at MIT have found large language models “often struggle to handle more complex problems that require true understanding,” reports Kirimgeray Kirimli for Forbes. “This underscores the need for future versions of LLMs to go beyond just these basic, shared capabilities,” writes Kirimli.
Researchers at MIT have developed a new method that “enables robots to intuitively identify relevant areas of a scene based on specific tasks,” reports Baba Tamim for Interesting Engineering. “The tech adopts a distinctive strategy to make robots effective and efficient at sorting a cluttered environment, such as finding a specific brand of mustard on a messy kitchen counter,” explains Tamim.
Prof. Regina Barzilay has received the WebMD Health Heros award for her work developing a new system that uses AI to detect breast cancer up to 5 years earlier, reports WHDH. “We do have a right to know our risk and then we, together with our healthcare providers, need to manage them,” says Barzilay.
MIT has been named the number 2 university in the nation on U.S. News & World Report’s annual list of the country’s top universities and colleges, reports Ross Cristantiello for Boston.com
MIT has been named to the second spot in U.S News & World Report’s “Best National University Rankings,” reports Frank O’Laughlin for Boston 25 News.
MIT was named the number 2 university in the nation in U.S. News & World Report’s annual ranking of the best colleges and universities in the country, reports Travis Andersen for The Boston Globe.
Writing for The Washington Post, Prof. Daniela Rus, director of CSAIL, and Nico Enriquez, a graduate student at Stanford, make the case that the United States should not only be building more efficient AI software and better computer chips, but also creating “interstate-type corridors to transmit sufficient, reliable power to our data centers.” They emphasize: “The United States has the talent, investor base, corporations and research institutions to write the most advanced AI models. But without a powerful data highway system, our great technology advances will be confined to back roads.”