Latest from MIT : New tool evaluates progress in reinforcement learning

If there’s one thing that characterizes driving in any major city, it’s the constant stop-and-go as traffic lights change and as cars and trucks merge and separate and turn and park. This constant stopping and starting is extremely inefficient, driving up the amount of pollution, including greenhouse gases, that gets emitted per mile of driving. …

Latest from MIT : Novel AI model inspired by neural dynamics from the brain

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…

Latest from MIT : Making AI models more trustworthy for high-stakes settings

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…

Latest from MIT : The MIT-Portugal Program enters Phase 4

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…

Latest from MIT Tech Review – This data set helps researchers spot harmful stereotypes in LLMs

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…

Latest from MIT Tech Review – The AI Hype Index: AI agent cyberattacks, racing robots, and musical models

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…

Latest from MIT : Merging design and computer science in creative ways

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…

Latest from MIT : Novel method detects microbial contamination in cell cultures

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…

Latest from MIT : Artificial intelligence enhances air mobility planning

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…