Research by Alden Cheng PhD ‘23 “suggests that big college football games in October 2016 distracted voters from seeing fake news stories that favored Donald Trump,” reports Kevin Lewis for The Boston Globe. “Counties around colleges that played a big game in that month had fewer online searches for pro-Trump fake-news-related terms and had lower percentages of votes for Trump than would otherwise have been expected, given other political demographics,” writes Lewis.
Researchers at MIT have developed a supercapacitor, an energy storage system, using cement, water and carbon, reports Macie Parker for The Boston Globe. “Energy storage is a global problem,” says Prof. Franz-Josef Ulm. “If we want to curb the environmental footprint, we need to get serious and come up with innovative ideas to reach these goals.”
Prof. Nina Roussille has found that “women on average asked for 3.3% less than men for a full-time engineering job, with that gap growing to 6% for women with more experience,” reports Alicia Wallace for CNN. “However, when salary transparency was employed on the site and a median wage was given, the gap closed.”
MIT scientists have developed a new brain “atlas” and computer model that sheds insight into the brain-body connections in C. elegans worms, reports Lauren Leffer for Scientific American. “Through establishing those brain-behavior links in a humble roundworm,” writes Leffer, “neuroscientists are one step closer to understanding how all sorts of animal brains, even potentially human ones, encode action.”
Principal Research Scientist Kalyan Veeramachaneni speaks with Fast Company reporter Sam Becker about his work in developing the Synthetic Data Vault, which is helpful for creating synthetic data sets, reports Sam Becker for Fast Company. “Fake data is randomly generated,” says Veeramachaneni. “While synthetic data is trying to create data from a machine learning model that looks very realistic.”
Researchers from MIT and Harvard have explored astrocytes, a group of brain cells, from a computational perspective and developed a mathematical model that shows how they can be used to build a biological transformer, reports Kyle Wiggers for TechCrunch. “The brain is far superior to even the best artificial neural networks that we have developed, but we don’t really know exactly how the brain works,” says research staff member Dmitry Krotov. “There is scientific value in thinking about connections between biological hardware and large-scale artificial intelligence networks. This is neuroscience for AI and AI for neuroscience.
Undergraduate student Isabella Struckman and Sofie Kupiec ’23 reached out to the first hundred signatories of the Future of Life Institute’s open letting calling for a pause on AI development to learn more about their motivations and concerns, reports Will Knight for Wired. “The duo’s write-up of their findings reveals a broad array of perspectives among those who put their name to the document,” writes Knight. “Despite the letter’s public reception, relatively few were actually worried about AI posing a looming threat to humanity.”
Prof. Daniela Rus, director of CSAIL, speaks with TechCrunch reporter Brain Heater about liquid neural networks and how this emerging technology could impact robotics. “The reason we started thinking about liquid networks has to do with some of the limitations of today’s AI systems,” says Rus, “which prevent them from being very effective for safety, critical systems and robotics. Most of the robotics applications are safety critical.”
MIT researchers have developed a new tool called “PhotoGuard” that can help protect images from AI manipulation, reports Ross Cristantiello for Boston.com. The tool “is designed to make real images resistant to advanced models that can generate new images, such as DALL-E and Midjourney,” writes Cristantiello.
Prof. Amy Finkelstein speaks with Politico reporters Erin Schumaker, Daniel Payne and Evan Peng about her new book “We’ve Got You Covered: Rebooting American Health Care.” “Health insurance is not delivering on its function,” says Finkelstein. “Over 1 in 10 Americans under 65 are uninsured at any given moment, and of the 30 million Americans who are uninsured, 6 in 10 are eligible for free or heavily discounted health insurance coverage. And yet they don’t have that coverage.”
A working paper co-authored by Prof. John Horton and graduate students Emma van Inwegen and Zanele Munyikwa has found that “AI has the potential to level the playing field for non-native English speakers applying for jobs by helping them better present themselves to English-speaking employers,” reports Medora Lee for USA Today. “Between June 8 and July 14, 2021, [Inwegen] studied 480,948 job seekers, who applied for jobs that require English to be spoken but who mostly lived in nations where English is not the native language,” explains Lee. “Of those who used AI, 7.8% were more likely to be hired.”
Prof. David Autor and his colleagues have documented China’s impact on manufacturing jobs in the U.S. after joining the World Trade Organization in 2001, an effect known as the China shock, reports Shawn Donnan for Bloomberg in an article about how manufacturing job losses impacted Rockingham County in North Carolina. “Declining populations of young workers, as well as lower pay, have persisted in Rockingham and other communities hardest hit by this China shock, the researchers found in a 2021 paper,” writes Donnan.
A new study co-authored by MIT researchers finds that journals and academic papers should be evaluated using a “diversity factor,” a metric aimed at improving representation across research, reports Patrick Jack for Times Higher Education. Jack notes that the researchers see the diversity factor as a “‘call to action’ for improved representation and to prevent the perpetuation of biases against certain subgroups.”
Researchers at MIT have developed a wearable ultrasound device that can be used to detect early signs of breast cancer, reports Rachel Keller and Bob Dumas for Boston 25 News. “This technology will be able to let you know if there’s a question mark, if there’s an anomaly, in your breast tissue,” says Prof. Canan Dagdeviren.
Researchers at MIT have developed “PhotoGuard,” a tool that can be used to protect images from AI manipulation, reports Catherine Thorbecke for CNN. The tool “puts an invisible ‘immunization’ over images that stops AI models from being able to manipulate the picture,” writes Thorbecke.