Researchers from MIT and McMaster University have used artificial intelligence to identify a new antibiotic that can fight against a drug-resistant bacteria commonly found in hospitals and medical offices, reports Ken Alltucker for USA Today. The researchers believe the AI “process used to winnow thousands of potential drugs to identify one that may work is an approach that can work in drug discovery,” writes Alltucker.
Researchers from MIT and elsewhere have used artificial intelligence to develop a new antibiotic to address Acinetobacter baumannii, a bacteria known for infecting wounds, lungs and kidneys, reports Harland-Dunaway for The World.
Prof. Jessika Trancik speaks with Popular Science reporter Charlotte Hu about the impact of electric vehicles on the environment. “There’s definitely a number of different modes of transport that need to be addressed and green modes of transport that need to be supported,” says Trancik. “We really need to be thinking holistically about all these ways to reduce greenhouse gas emissions.”
Using a machine-learning algorithm, researchers from MIT and McMaster University have discovered a new type of antibiotic that works against a type of drug-resistant bacteria, reports Brenda Goodman for CNN. Goodman notes that the compound “worked in a way that stymied only the problem pathogen. It didn’t seem to kill the many other species of beneficial bacteria that live in the gut or on the skin, making it a rare narrowly targeted agent.”
Researchers from MIT and McMaster University used a machine-learning algorithm to identify a new antibiotic that can treat a bacteria that causes deadly infections, reports Maya Yang for The Guardian. The researchers used an “AI algorithm to screen thousands of antibacterial molecules in an attempt to predict new structural classes. As a result of the AI screening, researchers were able to identify a new antibacterial compound which they named abaucin,” writes Yang.
Prof. Marzyeh Ghassemi speaks with NPR host Kate Wells about a decision by the National Eating Disorders Associations to replace their helpline with a chatbot. “I think it's very alienating to have an interactive system present you with irrelevant or what can feel like tangential information,” says Ghassemi.
President Sally Kornbluth spoke with reporters from The Tech about her first months as president of MIT and her vision for her time leading the Institute. “MIT is a pretty decentralized place, so I am taking some time to get to know every nook and cranny,” says Kornbluth. She adds that in terms of her top priorities as president, “there's no question that climate change is at the very top of the list.”
Popular Science reporter Andrew Paul spotlights “Ways of Seeing” a documentary project that aims to create “extended reality” (XR) experiences of significant architectural locales in Afghanistan as part of an effort to preserve the country’s historical sites. Paul notes that the project combines “cutting edge 3D imaging, drone photography, and virtual reality combined with painstakingly detailed hand drawings.”
Researchers from MIT have found that, as a result of the Covid-19 pandemic, people are less likely to explore economically different parts of their home cities, reports Immanual John Milton for Bloomberg. “Fewer people are visiting attractions like museums, restaurants or parks that are outside their immediate mobility radius, and they’re spending less time among residents at different socioeconomic levels,” writes Milton.
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.”
MIT researchers have found that interactions between people from different economic backgrounds have dropped significantly since the start of the Covid-19 pandemic, reports David Scharfenberg for The Boston Globe. Scharfenberg notes the “the phenomenon could hurt low-income people in direct ways – they’ll lose connections to better-off people – and indirect ways.”
Prof. Jongyoon Han and research scientist Junghyo Yoon have developed a new portable desalination device that can deliver safe drinking water at the push of a button, reports Meghan Gunn and Kerri Anne Renzulli for Newsweek. The device “requires less power than a cell phone charger to run and produces clean drinking water that exceeds World Health Organization standards,” writes Gunn and Renzulli.
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.
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.
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.