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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
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 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
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
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
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
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
AI system learns from many types of scientific information and runs . . . The “CRESt” AI platform learns from many types of scientific information and runs experiments to discover new materials The system could generate solutions to energy problems that have plagued the materials science and engineering community for decades