Artificial intelligence | MIT News | Massachusetts Institute of …
2 days ago · AI in health should be regulated, but don’t forget about the algorithms, researchers say. In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care. December 12, …
Massachusetts Institute of Technology - MIT News
1 day ago · Arago, an AI startup co-founded by alumnus Nicolas Muller, has been named to the Future 40 list by Station F, which selects “the 40 most promising startups,” reports Romain Dillet for TechCrunch. Arago is “working on new AI-focused chips that use optical technology at the chipset level to speed up operations,” explains Dillet.
AI simulation gives people a glimpse of their potential ... - MIT News
Oct 1, 2024 · The AI system uses this information to create what the researchers call “future self memories” which provide a backstory the model pulls from when interacting with the user. For instance, the chatbot could talk about the highlights of someone’s future career or answer questions about how the user overcame a particular challenge.
Photonic processor could enable ultrafast AI computations ... - MIT …
Dec 2, 2024 · Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation.
MIT researchers advance automated interpretability in AI models
Jul 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 interpretability experiments autonomously.
Combining next-token prediction and video diffusion in ... - MIT …
Oct 16, 2024 · Diffusion Forcing, a method led by researchers at MIT CSAIL, can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
New AI tool generates realistic satellite images of future ... - MIT …
Nov 25, 2024 · The AI-only method, in contrast, generated images of flooding in places where flooding is not physically possible. The team’s method is a proof-of-concept, meant to demonstrate a case in which generative AI models can generate realistic, trustworthy content when paired with a physics-based model.
MIT researchers develop an efficient way to train more reliable AI ...
Nov 22, 2024 · Reinforcement learning models, which underlie these AI decision-making systems, still often fail when faced with even small variations in the tasks they are trained to perform. In the case of traffic, a model might struggle to control a set of intersections with different speed limits, numbers of lanes, or traffic patterns.
Explained: Generative AI | MIT News | Massachusetts Institute of …
Nov 9, 2023 · Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction based on data. For instance, such models are trained, using millions of examples, to predict whether a certain X-ray shows signs of a tumor or if a particular borrower is ...
AI assistant monitors teamwork to promote effective ... - MIT News
Aug 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.