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  • Artificial intelligence - MIT News
    AI-enabled control system helps autonomous drones stay on target in uncertain environments The system automatically learns to adapt to unknown disturbances such as gusting winds
  • Explained: Generative AI’s environmental impact - MIT News
    MIT News explores the environmental and sustainability implications of generative AI technologies and applications
  • Helping nonexperts build advanced generative AI models
    Helping nonexperts build advanced generative AI models MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient
  • 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 - MIT News
    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
  • 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
  • Algorithms and AI for a better world - MIT News
    MIT Assistant Professor Manish Raghavan uses computational techniques to push toward better solutions to long-standing societal problems
  • Novel AI model inspired by neural dynamics from the brain
    Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data AI often struggles with analyzing complex information that unfolds over long periods of time, such as
  • A technique for more effective multipurpose robots - MIT News
    MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments
  • 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





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