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
4 days ago · The researchers found that “human–AI systems do not necessarily achieve better results than the best of humans or AI alone,” explains graduate student Michelle Vaccaro and her colleagues. “Challenges such as communication barriers, trust issues, ethical concerns and the need for effective coordination between humans and AI systems can ...
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.
Massachusetts Institute of Technology - MIT News
Dec 5, 2024 · MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16. First organized MIT delegation highlights the Institute's growing commitment to addressing climate change by showcasing research on biodiversity conservation, AI, and the role of local communities.
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.
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.
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.
Helping nonexperts build advanced generative AI models - MIT …
Jun 21, 2024 · Last year, that reasoning led to the acquisition of MosaicML by Databricks, a global data storage, analytics, and AI company that works with some of the largest organizations in the world. Since the acquisition, the combined companies have released one of the highest performing open-source, general-purpose LLMs yet built.
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.