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  • Artificial intelligence | MIT News | Massachusetts Institute of Technology
    The brain power behind sustainable AI PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence
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    After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists combine elements of different methods to improve algorithms or create new ones
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    MIT Associate Professor Justin Reich is working to help k-12 educators by listening to and sharing their stories about AI in the classroom
  • What does the future hold for generative AI? - MIT News
    Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the inaugural symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sept 17
  • 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
  • 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
  • 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
  • How we really judge AI - MIT News
    A new study finds people are more likely to approve of the use of AI in situations where its abilities are perceived as superior to humans’ and where personalization isn’t necessary
  • Can AI really code? Study maps the roadblocks to autonomous software . . .
    An AI that can shoulder the grunt work — and do so without introducing hidden failures — would free developers to focus on creativity, strategy, and ethics” says Gu “But that future depends on acknowledging that code completion is the easy part; the hard part is everything else Our goal isn’t to replace programmers It’s to





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