Massachusetts Institute of Technology - MIT News AI system learns to keep warehouse robot traffic running smoothly This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput
AI Assist - Stack Overflow stackoverflow ai is an AI-powered search and discovery tool designed to modernize the Stack Overflow experience by helping developers get answers instantly, learn along the way and provide a path into the community
AI tool generates high-quality images faster than state-of-the-art . . . A hybrid AI approach known as hybrid autoregressive transformer can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources The new tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image
Explained: Generative AI | MIT News | Massachusetts Institute of Technology What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology
Responding to the climate impact of generative AI - MIT News MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the second in a two-part series on the environmental impacts of generative artificial intelligence
Introducing the MIT Generative AI Impact Consortium The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry
Improving AI models’ ability to explain their predictions A new technique transforms any computer vision model into one that can explain its predictions using a set of concepts a human could understand The method generates more appropriate concepts that boost the accuracy of the model
How to create “humble” AI - MIT News An MIT-led team developed a framework for creating “humble” AI systems that reveal when they are not confident in their medical diagnoses or recommendations, and encourage users to gather additional information when the diagnosis is uncertain