MIT researchers have developed a new AI model that could help identify people with asymptomatic Covid-19 based on the sound of their cough, reports CBS Boston. The researchers hope that in the future the model could be used to help create an app that serves as a “noninvasive prescreening tool to figure out who is likely to have the coronavirus.”
Forbes contributor Adi Gaskell writes that CSAIL researchers have developed a machine learning system that can determine whether a task is best performed by a human or AI. The researchers developed the system to be “capable of learning and adapting as it goes, such that it can identify,” Gaskell explains, “when the expert isn't available or whether they have a certain level of experience, before choosing whether to defer to them.”
Prof. Tonio Buonassisi writes for Indvstrvs about how businesses can use machine learning systems to help address some of the world’s most pressing challenges. “What has emerged through our research,” writes Buonassisi, “is a combination of automation, data science, and computation — building blocks that promise to accelerate the rate of new materials development tenfold, and eventually millions of times, faster.”
NBC News reporters Lindsay Hoffman and Caroline Kim spotlight graduate student Joy Buolamwini’s work uncovering racial and gender bias in AI systems in a piece highlighting women who are “shattering ceilings, making groundbreaking discoveries, and spreading public awareness during the global pandemic.” Hoffman and Kim note that Buolamwini’s research "helped persuade these companies to put a hold on facial recognition technology until federal regulations were passed.”
Writing for The Boston Globe, Prof. D. Fox Harrell, Francesca Panetta and Pakinam Amer of the MIT Center for Advanced Virtuality explore the potential dangers posed by deepfake videos. “Combatting misinformation in the media requires a shared commitment to human rights and dignity — a precondition for addressing many social ills, malevolent deepfakes included,” they write.
Third-year student Casey Johnson speaks with Washington Post reporter Luz Lazo about his work exploring the feasibility of using GPS technology to determine when a scooter is on the sidewalk. Lazo explains that Johnson wrote a “surface categorization algorithm to detect the periodic cracks in a sidewalk. He then added an accelerator sensor — which costs less than $1 — to detect when the scooter is being used on an asphalt road versus a concrete sidewalk.”
Researchers from the Singapore-MIT Alliance for Research and Technology (SMART) Critical Analytics for Manufacturing Personalized Medicine (CAMP) research group have been awarded new research grants aimed at supporting work exploring personalized medicine and cell therapy, reports Health Europa. “In addition to our existing research on our three flagship projects, we hope to develop breakthroughs in manufacturing other cell therapy platforms that will enable better medical treatments and outcomes for society,” says Associate Provost Krystyn Van Vliet.
The Association for the Advancement of Artificial Intelligence has awarded Prof. Regina Barzilay a $1 million prize for her work advancing the use of AI in medicine, reports John McCormick for The Wall Street Journal. "Regina is brilliant, has very high standards, and is committed to helping others,” says Prof. James Collins. “And I think her experience with—her personal experience with cancer—has motivated her to apply her intellectual talents to using AI to advance health care.”
The AP highlights how Prof. Regina Barzilay has been named the inaugural winner of a new award given by the Association for the Advancement of Artificial Intelligence for her work “using computer science to detect cancer and discover new drugs has won a new $1 million award for artificial intelligence.”
Prof. Regina Barzilay has been named the inaugural recipient of the Squirrel AI Award for Artificial Intelligence to Benefit Humanity for her work developing new AI techniques to help improve health care, reports Rebecca Robbins for STAT. Robbins writes that Barzilay is focused on turning the “abundance of research on AI in health care into tools that can improve care.”
A new tool developed by MIT researchers sheds light on the operations of generative adversarial network models and allows users to edit these machine learning models to generate new images, reports Daphne Leprince-Ringuet for ZDNet. "The real challenge I'm trying to breach here," says graduate student David Bau, "is how to create models of the world based on people's imagination."
TechCrunch reporter Taylor Hatmaker writes that MIT researchers will led a new NSF-funded research institute focused on AI and physics.
Researchers from MIT's Laboratory for Nuclear Science will lead a new research institute focused on advancing knowledge of physics and AI, reports Jared Council for The Wall Street Journal. The new research institute is part of an effort “designed to ensure the U.S. remains globally competitive in AI and quantum technologies.”
A team of MIT researchers tested several different techniques for action labeling in videos and found that “older, simple, two-dimensional convolutional neural networks—a type of neural network architecture that has been around for quite a while now—worked better than much more complex, models that try to analyze the videos in three dimensions,” reports Jeremy Kahn for Fortune.
Writing for New Scientist, Vijaysree Venkatraman spotlights “Coded Bias,” a new documentary that chronicles graduate student Joy Buolamwini’s “journey to uncover racial and sexist bias in face-recognition software and other artificial intelligence systems.”