Washington Post reporter Pranshu Verma writes that a new study by MIT researchers finds the “future energy required to run just the computers on a global fleet of autonomous vehicles could generate as much greenhouse gas emissions as all the data centers in the world today.”
A review led Prof. Marzyeh Ghassemi has found that a major issue in health-related machine learning models “is the relative scarcity of publicly available data sets in medicine,” reports Emily Sohn for Nature.
MIT researchers have developed paper-thin solar cells that can adhere to nearly any material, reports Elissaveta M. Brandon for Fast Company. “We have a unique opportunity to rethink what solar technology looks like, how it feels, and how we deploy it,” says Prof. Vladimir Bulović.
Research scientist Ryan Hamerly and his team are working to harness “the low power consumption of hybrid optical devices for smart speakers, lightweight drones and even self-driving cars,” reports The Economist.
Prof. Jessika Trancik speaks with Bloomberg reporter Kyle Stock about the carbon impact of electric vehicles. “On average, your emissions are substantially lower if you go for the full electric [vehicle],” says Trancik. “But we could probably think of extreme edge cases where a hybrid is just as good.”
MIT researchers have developed an ultra-thin solar panel that can adhere to any surface for access to immediate power, reports Jules Suzdaltsev for Mashable. “These ultra-portable panels can make the difference in remote regions where emergencies require more power,” writes Suzdaltsev.
Researchers at MIT have developed a new ultrathin solar cell that can adhere to different surfaces providing power on the go, reports Clara McCourt for Boston.com. “The new technology surpasses convential solar panels in both size and ability, with 18 times more power per kilogram at one-hundredth the weight,” writes McCourt.
Popular Science reporter Andrew Paul writes that MIT researchers have developed a new ultra-thin solar cell that is one-hundredth the weight of conventional panels and could transform almost any surface into a power generator. The new material could potentially generate, “18 times more power-per-kilogram compared to traditional solar technology,” writes Paul. “Not only that, but its production methods show promising potential for scalability and major manufacturing.”
Research affiliate Ramin Hasani speaks with Kimberly Adams of Marketplace about how he and his CSAIL colleagues solved a differential equation dating back to the early 1900s, enabling researchers to create an AI algorithm that can learn on the spot and adapt to evolving patterns. The new algorithm “will enable larger-scale brain simulations,” Hasani explains.
MIT researchers have developed “a programmable wireless device that can control light orders of magnitude more quickly than commercial devices,” reports Susannah Sudborough for Boston.com. “The device, which is called a spatial light modulator (SLM), will have impactful practical uses beyond creating holograms,” writes Sudborough.
Popular Science reporter Charlotte Hu writes that MIT researchers have developed a new machine learning model that can depict how the sound around a listener changes as they move through a certain space. “We’re mostly modeling the spatial acoustics, so the [focus is on] reverberations,” explains graduate student Yilun Du. “Maybe if you’re in a concert hall, there are a lot of reverberations, maybe if you’re in a cathedral, there are many echoes versus if you’re in a small room, there isn’t really any echo.”
Scientists at MIT have developed “a machine learning model that can capture how sounds in a room will propagate through space,” report Kyle Wiggers and Devin Coldewey for TechCrunch. “By modeling the acoustics, the system can learn a room’s geometry from sound recordings, which can then be used to build a visual rendering of a room,” write Wiggers and Coldewey.
Prof. Peter Shor has been named one of the winners of the 2023 Breakthrough Prize in Fundamental Physics, reports Nature. “Shor’s most renowned contribution is the development of quantum algorithms for prime number factorization,” writes Nature.
Prof. Daniela Rus, director of CSAIL, speaks with Forbes reporter John Koetsier about the future of robotics. “I have been on a quest to have universal machines,” says Rus. “My idea is to create universal robot cells that could combine to form different types of machines, each with the same capability.”
Researchers at MIT are working on a system that can track the development of Parkinson’s disease by monitoring a person’s gait speed, reports Kyle Wiggers and Devin Coldewey for TechCrunch. “The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally,” writes Wiggers and Coldewey.