Eleven fellows have been selected for the 2023-2024 Morningside Academy for Design (MIT MAD) program, reports Designboom, which is focused on offering “opportunities for students, faculty, and the general public to explore the intersection of design, technology, and social impact.” The fellowship program is aimed at helping designers have a “real-world impact in fields such as sustainability, architecture, health, and social justice.”
Prof. Yossi Sheffi, director of the MIT Center for Transportation and Logistics, speaks with David Wade of WBZ News about AI and the future of work. "Jobs will change, clearly some jobs will disappear. I don't want to minimize it," says Sheffi. “Some jobs will disappear, but this is a very small number. Most of the impact of technology is to assist."
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.”
A number of MIT startups including Scale AI and Alto Pharmacy have named to CNBC’s Disruptor 50 list, “which highlights private companies that are chasing some of the market’s biggest opportunities and growing despite a tough capital markets environment and slowing economy.” CNBC explains that: “Many of the Disruptor 50 companies have a social or environmental purpose that is core to their business model, including climate change, sustainable development, health care, financial inequities, and an inefficient global supply chain.”
Prof. James Poterba, president of the National Bureau of Economic Research and a member on the Business Cycle Dating Committee, speaks with NBC Boston reporter Annie Nova about the practice of dating economic downturns. Poterba notes that examining economic fluctuations “helps to design policy going forward. It enables us to look back and say, for example, what are the consequences of interest rate increases?”
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?”
Researchers from MIT have found that “although women received higher performance ratings than their male colleagues, they received 8.3% lower ratings for potential than men,” reports Caroline Castrillon for Forbes. “Because those ratings strongly predict promotions, female employees were 14% less likely to be promoted than male ones,” writes Castrillon.
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.
Astronomers from MIT and elsewhere have become the first to witness a star consume an entire planet, reports Elisha Sauers for Mashable. “The new study confirms that when a sun-like star nears the end of its life, it expands into a red giant, 100 to 1,000 times its original size, eventually overtaking nearby planets,” explains Sauers. “Such events are thought to be rare, occurring only a few times each year throughout the galaxy.”
Researchers from MIT have found that Twitter “bot detection tools can rely on funky, flawed data sets that replicate mistakes made within one another, rather than trying to accurately identify bots,” reports Chris Stokel-Walker for Fast Company. “We realized that this was a systemic issue in the data sets that are commonly used for bot detection,” says postdoc Zachary Schutzman.
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.”
Researchers at MIT are developing a new way to use electric thrusters, reports Freethink. “Electric propulsion actually has the benefit of maximizing the amount of room that you have on a spacecraft so you can use it for this useful payload as opposed to just propellant,” says Prof. Paulo Lozano.
MIT researchers have developed SoftZoo, “an open framework platform that simulated a variety of 3D model animals performing specific tasks in multiple environmental settings,” reports Andrew Paul for Popular Science. “This computational approach to co-designing the soft robot bodies and their brains (that is, their controllers) opens the door to rapidly creating customized machines that are designed for a specific task,” says CSAIL director, Prof. Daniela Rus.
A team of astronomers, including researchers from MIT, witnessed a star swallowing up an entire planet for the first time, reports Margaret Osborne for Smithsonian Magazine. “For decades, scientists have only been able to witness the before and after of such planetary engulfment,” writes Osborne.
Researchers at MIT have developed “SoftZoo,” a platform designed to “study the physics, look and locomotion and other aspects of different soft robot models,” reports Brian Heater for TechCrunch. “Dragonflies can perform very agile maneuvers that other flying creatures cannot complete because they have special structures on their wings that change their center of mass when they fly,” says graduate student Tsun-Hsuan Wang. “Our platform optimizes locomotion the same way a dragonfly is naturally more adept at working through its surroundings.”