In the Media

Prof. Cynthia Breazeal, the MIT dean of digital learning, speaks with Education Week reporter Alyson Klein about the importance of ensuring K-12 students are AI literate. “The AI genie is out of the bottle,” says Breazeal. “It’s not just in the realm of computer science and coding. It is affecting all aspects of society. It’s the machine under everything. It’s critical for all students to have AI literacy if they are going to be using computers, or really, almost any type of technology.”

Ubiquitous Energy, an MIT startup, has created a transparent photovoltaic glass coating, called UE Power, that can turn any surface into a tiny solar panel, reports Teodosia Dobriyanova for Mashable. “The company, however, is prioritizing the use of UE Power on windows in an attempt to help buildings reduce their colossal climate footprint,” writes Dobriyanova.

A new working paper by Prof. Christian Wolf and his colleagues explores a “mechanism by which a government could run deficits and never have to pay them,” reports Peter Coy for The New York Times. The researchers found that “‘deficits contribute to their own financing via two channels.’ First, they can accelerate economic growth, which generates more tax revenue. Second, they can cause inflation to rise, which shrinks the effective cost of debt.

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?”

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."

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.

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.