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5251 search results found
  • May 18, 2003
    Department of Urban Studies and Planning

    Breakthroughs in the System of Sustainable Technologies, Actions, and Institutions: Understanding and Experimenting the Dynamics of Green Innovation

    Principal Investigator Lawrence Susskind

  • 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.

  • December 10, 2012 MIT News

    Precisely engineering 3-D brain tissues

  • November 7, 2016
    Department of Physics

    Plasma Science

    Principal Investigator Richard Temkin

  • 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.

  • October 31, 2024 ILP Faculty Feature

    The Mathematician Turned Chemical Engineer

    Martin Bazant

  • November 14, 2016
    Department of Electrical Engineering and Computer Science

    Expeditions in Computing: The Science of Deep Specification

    Principal Investigator Adam Chlipala

  • March 8, 2011
    Center for Transportation and Logistics

    Malaysia Institute for Supply Chain Innovation (MISI)

    Principal Investigator Yossi Sheffi

  • 2022 MIT Health Science Technologies Conference

    2022 MIT Health Science Technologies Conference

    Tue, April 12, 2022 Conference
    Boston Marriott Cambridge

    The pharmaceutical industry is under growing pressure from patent expirations of major drugs, cost-constrained health care systems, and a demanding regulatory environment. A focus for the industry is to tackle these challenges while increasing the output and quality of cost-effective, new medicines without incurring unsustainable R&D cost. Through new technology and new approaches there is an aspiration to make such improvements while also bringing ever-improved therapeutics to patients faster. In this conference, we will lay out many of the challenges the industry is facing and explore potential solutions coming from academic research and startup endeavors, from early discovery through manufacturing technologies, to clinical studies and beyond.

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