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- Massachusetts Institute of Technology - MIT News
MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet
- 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
- 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
- Machine learning | MIT News | Massachusetts Institute of Technology
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 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
- 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
- MIT researchers advance automated interpretability in AI models
MAIA is a multimodal agent for neural network interpretability tasks developed at MIT CSAIL It uses a vision-language model as a backbone and equips it with tools for experimenting on other AI systems
- 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
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