Artificial intelligence | MIT News | Massachusetts Institute of …
WEB3 days ago · A fast and flexible approach to help doctors annotate medical scans. “ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities. September 9, 2024. Read full story.
Explained: Generative AI | MIT News | Massachusetts Institute of …
WEBNov 9, 2023 · Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on. “When it comes to the actual machinery underlying generative AI and other types ...
New hardware offers faster computation for artificial ... - MIT News
WEBJul 28, 2022 · MIT researchers created protonic programmable resistors — building blocks of analog deep learning systems — that can process data 1 million times faster than synapses in the human brain. These ultrafast, low-energy resistors could enable analog deep learning systems that can train new and more powerful neural networks rapidly, which could be used for areas like self-driving cars, fraud ...
MIT researchers introduce generative AI for databases
WEBJul 8, 2024 · Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
AI assistant monitors teamwork to promote effective ... - MIT News
WEBAug 19, 2024 · AI to the rescue Even with a sophisticated plan, both human and robotic agents will encounter confusion and even make mistakes if their roles are unclear. This plight looms especially large in search-and-rescue missions, where the objective may be to locate someone in danger despite limited time and a vast area to scan.
MIT researchers advance automated interpretability in AI models
WEBJul 23, 2024 · They developed “MAIA” (Multimodal Automated Interpretability Agent), a system that automates a variety of neural network interpretability tasks using a vision-language model backbone equipped with tools for experimenting on other AI systems. “Our goal is to create an AI researcher that can conduct …
Researchers enhance peripheral vision in AI models - MIT News
WEBMar 8, 2024 · Unlike humans, AI does not have peripheral vision. Equipping computer vision models with this ability could help them detect approaching hazards more effectively or predict whether a human driver would notice an oncoming object.
AI model can reveal the structures of crystalline materials
WEBSep 19, 2024 · MIT chemists developed a generative AI model to help determine structures of powdered crystal materials. This could help researchers characterize materials for use in batteries, magnets, and many other applications.
AI agents help explain other AI systems - MIT News
WEBJan 3, 2024 · Facilitating this timely endeavor, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel approach that uses AI models to conduct experiments on other systems and explain their behavior. Their method uses agents built from pretrained language models to produce intuitive explanations of ...
AI accelerates problem-solving in complex scenarios - MIT News
WEBDec 5, 2023 · Researchers from MIT and ETZ Zurich have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions. Their approach could be applied to many complex logistical challenges, such as package routing, vaccine distribution, and power grid management.