Prof. Jessika Trancik speaks with The Hill reporter Rachel Frazin about her research that demonstrates people can save more than 30% in emissions by switching to electric vehicles. “One can see an immediate reduction in greenhouse gas emissions, even with today’s power grid and today’s power supply. It’s a really important step to electrify as many vehicles as possible, and quickly,” says Trancik.
Wall Street Journal reporter Dieter Holger spotlights the MIT Climate and Sustainability Consortium. Holger notes that in January “IBM joined a dozen other companies—including Apple Inc., Verizon Communications Inc. and Boeing Co. —as the inaugural members of the MIT Climate and Sustainability Consortium to develop technologies to combat climate change.”
In this video, Mashable spotlights how MIT researchers have developed a new system that can 3-D print objects without human intervention. “The system works thanks to a software toolkit that lets you design custom blueprints,” Mashable explains.
CSAIL researchers have developed a new system, dubbed LaserFactory, that can print custom devices and robots without human intervention, reports Brian Heater for TechCrunch. “The system is comprised of a software kit and hardware platform designed to create structures and assemble circuitry and sensors for the machine,” Heater writes.
UPI reporter Brooks Hays writes that MIT researchers have developed a new machine learning algorithm that can anticipate and recognize a protein’s varied structures. “The new AI-system,” writes Hays, “does more than image a diversity of conformations, it can also predict the varied motions of different protein structures.”
Prof. Jessika Trancik speaks with Jesse Remedios of WBUR about her new study that identifies locations where electric vehicle charging stations would have the most impact and help increase the adoption of electric vehicles. “It's important to make sure that chargers are placed where people can charge without having to delay their activities,” Trancik says.
New York Times reporter Brad Plumer spotlights a new study by Prof. Jessika Trancik that finds “new chargers on residential streets, as well as high-speed charging stations along highways, would go a long way to supporting an electric-vehicle boom.”
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new “liquid” machine learning system that can learn on the job. Etherington notes that the system has “the potential to greatly expand the flexibility of AI technology after the training phase, when they’re engaged in the actual practical inference work done in the field.”
Wired reporter Will Knight spotlights how MIT researchers built a machine learning system that can help predict which patients are most likely to develop breast cancer. “What the AI tools are doing is they're extracting information that my eye and my brain can't,” says Constance Lehman, a professor of radiology at Harvard Medical School and division chief of breast imaging at MGH.
Mashable reporter Sasha Lekach spotlights a new study by MIT researchers that finds installing more charging stations close to residences and in locations that match where people naturally stop, would help increase usage of electric vehicles. The researchers found that “this helps to make charging more accessible while drivers are going about everyday activities.”
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new system that devises hardware architecture that can speed up a robot’s operations. Etherington notes that “this research could help unlock the sci-fi future of humans and robots living in integrated harmony.”
Forbes contributor Adi Gaskell spotlights how the MIT Task Force on the Work of the Future recently released a comprehensive report examining the future of work. Gaskell writes that the Task Force's report emphasizes the “pressing issues of our time as one of improving the quality of jobs to ensure that prosperity is shared across the economy.”
MIT researchers have developed an online interactive tool aimed at helping consumers quantify the costs of buying an electric or gas-powered vehicle. The tool demonstrates how electric vehicles may initially be more expensive, but are often cheaper in the long-run, reports Veronica Penny for The New York Times. Prof. Jessika Trancik notes that she hopes the tool will “help people learn about how those upfront costs are spread over the lifetime of the car.”
Axios reporter Bryan Walsh spotlights a new study by researchers from MIT’s Task Force on the Work of the Future that examines the impact of AI on the future of work. Walsh notes that the report’s authors “recommend programs that can enhance computer skills from kindergarten through the university level, while urging businesses and worker organizations to build cushions for the sometimes harsh changes AI will wreak on work.”
Writing for the Financial Times, Ryosuke Harada highlights a new MIT report that emphasizes the “importance of education and investment in human resources and warns that in the absence of a strategy, jobs will be lost and divisions in society will widen.”