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- Massachusetts Institute of Technology - MIT News
AI algorithm enables tracking of vital white matter pathways Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease
- 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
- MIT researchers introduce generative AI for databases
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 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
- Teaching AI models what they don’t know - MIT News
A team of MIT researchers founded Themis AI to quantify artificial intelligence model uncertainty and address knowledge gaps
- Graph-based AI model maps the future of innovation - MIT News
The new AI approach uses graphs based on methods inspired by category theory as a central mechanism to understand symbolic relationships in science This Illustration shows one such graph and how it maps key points of related ideas and concepts
- How generative AI can help scientists synthesize complex materials . . .
Generative artificial intelligence models have been used to create enormous libraries of theoretical materials that could help solve all kinds of problems Now, scientists just have to figure out how to make them In many cases, materials synthesis is not as simple as following a recipe in the kitchen Factors like the temperature and length of processing can yield huge changes in a material
- 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
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