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Can a Machine Win a Nobel Prize? The Role of Computational Analytics in Data Science

Speaker: Victor Pankratius (MIT)

Event details
What
    When May 15, 2018
    from 10:00 to 11:30
    Where Room 0.016, Ground floor at the Institute of Computer Science
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    Artificial Intelligence is currently undergoing a Renaissance that pushes the limits in Data Science, but how far can computer-aided discovery go? Can a machine eventually win a Nobel Prize by generating theories and insight beyond human capabilities? This talk will leverage these intriguing questions to discuss the joint roles of AI, computational analytics, and high-performance computing in this vision. As to what is possible today, our NASA case studies in computer-aided discovery will exemplify progress in scientific question answering for real-world data from sensor networks, telescopes, and satellites. I will discuss examples from astrophysics, geophysics, planetary & solar science, as well as the success factors of our cloud computing frameworks that lead to new discoveries that were missed by human scientists. I will conclude with work our students have done in preparation for the Transiting Exoplanet Survey Satellite, an MIT-lead NASA mission that launched on April 18 2018 from Cape Canaveral to search for new worlds beyond our solar system.

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