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Writing for Forbes, Prof. Daniela Rus, director of CSAIL, makes the case that liquid neural networks “offer an elegant and efficient computational framework for training and inference in machine learning. With their compactness, adaptability, and streamlined computation, these networks have the potential to reshape the landscape of artificial intelligence and drive further breakthroughs in the field.”
MIT has been selected as the world’s best university in the 2024 QS World University Rankings, reports Cecilia Rodriguez for Forbes. MIT has secured “the top position for the 12th consecutive year,” writes Rodriguez.
Former MIT Prof. Edward Fredkin, “a pioneer in artificial intelligence and a maverick theorist,” has died at 88, reports Alex Williams for The New York Times. Williams notes that Fredkin, who worked on Project MAC during his time at MIT, was “fueled by a seemingly limitless scientific imagination and a blithe indifference to conventional thinking.” Prof. Gerald Sussman recalls that “Ed Fredkin had more ideas per day than most people have in a month.”
Prof. Marzyeh Ghassemi speaks with Yahoo News reporter Rebecca Corey about the benefits and risks posed by the use of AI tools in health care. “I think the problem is when you try to naively replace humans with AI in health care settings, you get really poor results,” says Ghassemi. “You should be looking at it as an augmentation tool, not as a replacement tool.”
Boston Globe reporter Mike Orcutt spotlights Prof. Silvio Micali and Prof. Shafi Goldwasser for their work developing the theory behind zero-knowledge proofs and their contributions to the field of modern cryptography.
Sean Liu ‘10, MNG ’10 showcased his baking skills as a contestant on “The Great American Baking Show,” reports Jana Rossi for Village Life. “Liu described his recipes as having an Asian influence, an ‘East meets West with a little twist,’ and said he walked away a much more confident baker and thinks about recipes differently,” writes Rossi.
Neil Thompson, director of the FutureTech research project at MIT CSAIL and a principal investigator MIT’s Initiative on the Digital Economy, speaks with Politico reporter Mohar Chatterjee about generative AI, the pace of computer progress and the need for the U.S. to invest more in developing the future of computing. “We need to make sure we have good secure factories that can produce cutting-edge semiconductors,” says Thompson. “The CHIPS Act covers that. And people are starting to invest in some of these post-CMOS technologies — but it just needs to be much more. These are incredibly important technologies.”
Institute Prof. Daron Acemoglu and Prof. Aleksander Mądry join GBH’s Greater Boston to explore how AI can be regulated and safely integrated into our lives. “With much of our society driven by informational spaces — in particular social media and online media in general — AI and, in particular, generative AI accelerates a lot of problems like misinformation, spam, spear phishing and blackmail,” Mądry explains. Acemoglu adds that he feels AI reforms should be approached “more broadly so that AI researchers actually work in using these technologies in human-friendly ways, trying to make humans more empowered and more productive.”
MIT researchers have developed a new machine-learning technique that can identify which pixels in an image represent the same material, which could help with robotic scene understanding, reports Kyle Wiggers for TechCrunch. “Since an object can be multiple materials as well as colors and other visual aspects, this is a pretty subtle distinction but also an intuitive one,” writes Wiggers.
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.
Commonwealth Fusion Systems, MIT’s Plasma Science and Fusion Center and others are working to build SPARC, a prototype device that aims to extract net energy from plasma and generate fusion power, reports Philip Ball for Scientific American. “SPARC will be a midsize tokamak in which the plasma is tightly confined by very intense magnetic fields produced by new high-temperature superconducting magnets developed at MIT and unveiled in 2021.”
Newsday reporter Edward B. Colbey spotlights Sara Stiklickas ’17 and her journey into the world of computer science. “Leaving high school, Sara Stiklickas figured she'd become an engineer or go to medical school. Computer science wasn't on her radar — until, that is, one course in college changed the path of her life,” writes Colbey.
MIT alumni Steve Fredette, Aman Narang and Jonathan Grimm co-founded Toast, an all-in-one online restaurant management software company, reports Aaron Pressman for The Boston Globe. “The Toast founders spent hours talking to restaurateurs and built features such as real-time communication with the kitchen about special orders and dishes that have sold out, and a way of tracking loyalty rewards,” explains Pressman.
Prof. Jongyoon Han and research scientist Junghyo Yoon have developed a new portable desalination device that can deliver safe drinking water at the push of a button, reports Meghan Gunn and Kerri Anne Renzulli for Newsweek. The device “requires less power than a cell phone charger to run and produces clean drinking water that exceeds World Health Organization standards,” writes Gunn and Renzulli.
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.