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- Artificial intelligence | MIT News | Massachusetts Institute of Technology
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
- Machine learning | MIT News | Massachusetts Institute of Technology
Helping AI agents search to get the best results out of large language models EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM
- 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
- Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications
- 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
- 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
- MIT researchers develop an efficient way to train more reliable AI . . .
MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability This could enable the leverage of reinforcement learning across a wide range of applications
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