Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data. AI often struggles with analyzing complex information that unfolds over long periods of time, such as…
The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates, which are accumulations of pus or blood. An artificial intelligence model could assist the clinician…
Since its founding 19 years ago as a pioneering collaboration with Portuguese universities, research institutions and corporations, the MIT-Portugal Program (MPP) has achieved a slew of successes — from enabling 47 entrepreneurial spinoffs and funding over 220 joint projects between MIT and Portuguese researchers to training a generation of exceptional researchers on both sides of…
AI models are riddled with culturally specific biases. A new data set, called SHADES, is designed to help developers combat the problem by spotting harmful stereotypes and other kinds of discrimination that emerge in AI chatbot responses across a wide range of languages. Margaret Mitchell, chief ethics scientist at AI startup Hugging Face, led the…
Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. AI agents are the AI industry’s hypiest new product—intelligent assistants capable of completing tasks without human supervision. But while they can be theoretically…
Right now, despite its ubiquity, AI is seen as anything but a normal technology. There is talk of AI systems that will soon merit the term “superintelligence,” and the former CEO of Google recently suggested we control AI models the way we control uranium and other nuclear weapons materials. Anthropic is dedicating time and money…
The speed with which new technologies hit the market is nothing compared to the speed with which talented researchers find creative ways to use them, train them, even turn them into things we can’t live without. One such researcher is MIT MAD Fellow Alexander Htet Kyaw, a graduate student pursuing dual master’s degrees in architectural studies…
Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with MIT, A*STAR Skin Research Labs, and the National University of Singapore, have developed a novel method that can quickly and automatically detect and monitor microbial contamination in…
Every day, hundreds of chat messages flow between pilots, crew, and controllers of the Air Mobility Command’s 618th Air Operations Center (AOC). These controllers direct a thousand-wide fleet of aircraft, juggling variables to determine which routes to fly, how much time fueling or loading supplies will take, or who can fly those missions. Their mission…
Coordinating complicated interactive systems, whether it’s the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple…