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5232 search results found
  • December 3, 2007
    Department of Chemical Engineering

    Molecular Engineering of Biological and Chemical Systems (MEBCS)

    Principal Investigator Gregory Stephanopoulos

  • November 14, 2024 ILP Faculty Feature

    Metallurgy Made New: Transforming a Branch of Science That is Thousands of Years Old

    C Cem Tasan

  • 2024-Health-Science-Tech-Card

    2024 MIT Health Science Technology Conference

    April 10 - 11, 2024 Conference
    Boston Marriott Cambridge

    The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.

  • October 31, 2024 ILP Faculty Feature

    The Mathematician Turned Chemical Engineer

    Martin Bazant

  • 2024 MIT R&D Conference: Track 5 - AI - Is AI Ready to Transform Chemistry & Materials Science

    November 19, 2024Conference Video Duration: 18:38
    Is AI Ready to Transform Chemistry and Materials Science?
    Rafael Gomez-Bombarelli
    Jeffrey Cheah Career Development Chair,
    Associate Professor, MIT Department of Materials Science and Engineering (DMSE)

    AI’s influence is undeniable in the digital realm, affecting consumers’ lives and corporate operations. Transferring these advancements to sectors producing physical goods, such as drug discovery and biotech, commodity chemicals, materials for energy and sustainability, and manufacturing, presents a thrilling prospect and a translational challenge. This talk will explore the present use cases and the potential of applying generative AI within the chemistry and materials domain. Unlike a large part of the tech sector, these industries are capital-intensive and cautious, meaning that AI must bridge an “execution gap” between the digital and physical realms for value generation. We will outline strategies to overcome current technical and cultural hurdles.

  • December 10, 2012 MIT News

    Precisely engineering 3-D brain tissues

  • November 7, 2016
    Department of Physics

    Plasma Science

    Principal Investigator Richard Temkin

  • March 8, 2011
    Center for Transportation and Logistics

    Malaysia Institute for Supply Chain Innovation (MISI)

    Principal Investigator Yossi Sheffi

  • Beckman Coulter Life Sciences

    Fort Collins, CO, United States
  • November 14, 2016
    Department of Electrical Engineering and Computer Science

    Expeditions in Computing: The Science of Deep Specification

    Principal Investigator Adam Chlipala

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