TechCrunch reporter Kyle Wiggers writes that MIT researchers have developed a new tool, called SigLLM, that uses large language models to flag problems in complex systems. In the future, SigLLM could be used to “help technicians flag potential problems in equipment like heavy machinery before they occur.”
MIT researchers have developed an AI risk repository that includes over 70 AI risks, reports Kyle Wiggers for TechCrunch. “This is an attempt to rigorously curate and analyze AI risks into a publicly accessible, comprehensive, extensible and categorized risk database that anyone can copy and use, and that will be kept up to date over time,” explains Peter Slattery, a research affiliate at the MIT FutureTech project.
MIT scientists have developed an implantable sensor that could “detect the signs of an overdose and automatically deliver a dose of naloxone in as little as 10 seconds,” reports Tom Hawking for Popular Science. "The long-term benefits of preventing fatal overdoses and reducing healthcare costs related to overdose treatment are significant factors that support the value of this technology,” explains Prof. Giovanni Traverso.
A new study by MIT researchers finds that commercial air travel continues to get safer, with the risk of a fatality 1 per every 13.7 million passenger boardings globally in the 2018 to 2022 period, reports Brittany Anas for Forbes. “Researchers explain that this trend in safer flights can be understood through ‘Moore’s Law,’ which is the observation that innovators find ways to double computing power of chips every roughly 18 months,” Anas writes. “However, in this case, the MIT team points out, commercial travel has become almost twice as safe in each decade since the late 1960s.”
Prof. Regina Barzilay joins BBC host Caroline Steel and other AI experts to discuss her inspiration for applying AI technologies to help improve medicine and fight cancer. “I think that in cancer and in many other diseases, the big question is always, how do you deal with uncertainty? It's all the matter of predictions," says Barzilay. "Unfortunately, today, we rely on humans who don't have this capacity to make predictions. As a result, many times people get wrong treatments or they are diagnosed much later.”
Research by Prof. David Autor finds that following the Covid-19 pandemic, wages for lower-paid US workers increased, reports Soumaya Keynes for The Financial Times. Autor and his colleagues found that people switching to better jobs served as a mechanism for boosting pay.
A new study by MIT researchers finds that air travel has never been safer, with the fatality rate falling to 1 per every 13.7 million passenger boardings globally in the 2018-2022 period, reports Agence France-Presse. Prof. Arnold Barnett compared aviation safety increases to "'Moore's Law,’ the famous prediction by Intel founder Gordon Moore that the computing power of chips doubles roughly every 18 months. From 1978-1987 the risk of dying was 1 per 750,000 boarding passengers; from 1988-1997 it was 1 per 1.3 million; and in 1998-2007, 1 per 2.7 million.”
In an excerpt from her new book, “The Mind’s Mirror: Risk and Reward in the Age of AI," Prof. Daniela Rus, director of CSAIL, addresses the fear surrounding new AI technologies, while also exploring AI’s vast potential. “New technologies undoubtedly disrupt existing jobs, but they also create entirely new industries, and the new roles needed to support them,” writes Rus.
Forbes reporter Katie Jennings spotlights Phillip (Terry) Ragon '72, and his philanthropic efforts focused on curing HIV. “Ragon’s approach has been to bring together scientists who don’t typically collaborate, including doctors, engineers, physicists, mathematicians and virologists,” writes Jennings.
Prof. Daron Acemoglu speaks with NPR Planet Money hosts Greg Rosalsky and Darian Woods about the anticipated economic impacts of generative AI. Acemoglu notes he believes AI is overrated because humans are underrated. "A lot of people in the industry don't recognize how versatile, talented, multifaceted human skills and capabilities are," Acemoglu says. "And once you do that, you tend to overrate machines ahead of humans and underrate the humans."
Writing for Fortune, Prof. Daron Acemoglu explores the estimated scale of AI’s impact on the labor market and productivity. “The problem with the AI bubble isn’t that it is bursting and bringing the market down,” writes Acemoglu. “It’s that the hype will likely go on for a while and do much more damage in the process than experts are anticipating."
MIT researchers have found that “when nudged to review LLM-generated outputs, humans are more likely to discover and fix errors,” reports Carter Busse for Forbes. The findings suggest that, “when given the chance to evaluate results from AI systems, users can greatly improve the quality of the outputs,” explains Busse. “The more information provided about the origins and accuracy of the results, the better the users are at detecting problems.”
MIT scientists have solved a decades old mystery by demonstrating impact vaporization is the primary cause of the moon’s thin atmosphere, reports Eric Lagatta for USA Today. The findings, “have implications far beyond determining the moon's atmospheric origins,” writes Lagatta. “In fact, it's not unthinkable that similar processes could potentially be taking place at other celestial bodies in the solar system.”
By analyzing isotopes of potassium and rubidium in the lunar soil, Prof. Nicole Nie and her team have demonstrated that micrometeorite impacts are the main cause of the moon’s thin atmosphere, reports Isabel Swafford for National Geographic. “Understanding the space environments of different planetary bodies is essential for planning future missions and exploring the broader context of space weathering,” says Nie.
Prof. Richard Binzel speaks with Washington Post reporter Lizette Ortega about Apophis – an asteroid estimated to fly past Earth in April 2029. “Nature is performing this once-per-several-thousand-years experiment for us,” says Binzel. “We have to figure out how to watch.”