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  1. Tackling hard computational problems

    LIDS Affiliate Member David Gamarnik has developed a new tool, the Overlap Gap Property, for understanding computational problems ... challenging, hand-picked problem conceivable.” In fact, people normally encounter problems under more random, less contrived ...

  2. First-ever Climate Grand Challenges recognizes 27 finalists

    ... Co-Design Institute—one of 27 projects selected as a finalist in MIT’s first ever Climate Grand Challenges competition. Also on ... the solutions will have tangible effects, changing the way people live and work. Examples of these new approaches range from developing ...

  3. A New Theory of Adversarial Examples in Machine Learning

    ... eight years, but in spite of enormous effort they remained a baffling phenomenon with no clear explanation. In particular, it was not ... digital-certification system on the Internet. Millions of people use RSA encryption to secure e-mail and other digital transactions. ...

  4. Women in Data Science conference unites global community of researchers and practitioners

    ... LIDS Affiliate Member Stefanie Jegelka was a main speaker at the third annual Women in Data Science (WiDS) Cambridge ... in data science." Adds Charpignon: “Meeting with people who inspire us and that we can inspire back is what WiDS is all ...

  5. Self-Driving Cars, Meet Rubber Duckies

    ... pirate training to “ street-fighting math ,” but a new robotics class is truly one for the birds. This spring, a hands-on ... was a collaborative effort involving more than a dozen people from CSAIL and LIDS, as well as three departments: Mechanical ...

  6. Researchers create a tool for accurately simulating complex systems

    A new technique eliminates a source of bias in a popular simulation method, which could enable scientists ... of doing simulation can induce errors. But I don’t think people necessarily knew how significant those errors could be,” he says. ...

  7. A method for designing neural networks optimally suited for certain tasks

    ... designed so they minimize the probability of misclassifying a data input. Image: Jose-Luis Olivares, MIT, with figures from iStock ... out that, if you take the standard activation functions that people use in practice, and keep increasing the depth of the network, it gives ...

  8. New maps show airplane contrails over the U.S. dropped steeply in 2020

    ... States before and during the Covid-19 pandemic, which show a steep reduction in the area covered by contrails in 2020. Image: ... 100 images taken by the satellite, and trained a set of people to interpret remote sensing data and label each image’s pixel as ...

  9. Study: When allocating scarce resources with AI, randomization can improve fairness

    ... based on their likelihood of survival. When deploying a model, users typically strive to ensure its predictions are fair by reducing ... right, Wilson explains. “When you acknowledge that people have different claims to these scarce resources, fairness is going to ...

  10. 3 Questions: Anuradha Annaswamy on building smart infrastructures

    Using a combination of control theory, cognitive science, economic modeling, and ... hinges on uncertainty. How does cloudy weather affect a grid powered by solar energy? How do we ensure that electricity is delivered ... Theory shows that if you can use pricing as an incentive, people are much more loss-averse so they would be willing to walk a bit extra ...

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