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3296 search results found
  • Cima-Japan-2.5.2021

    February 5, 2021Conference Video Duration: 37:26
    Michael Cima
    David H. Koch Professor of Engineering, MIT Koch Institute for Integrative Cancer Research
  • John
    C
    Wright

    Principal Research Scientist
    Primary DLC
    Plasma Science and Fusion Center

    Contact

    MIT Room
    NW16-262
    Phone
    (617) 253-9612
    jcwright@mit.edu
  • Nano Summit

    MIT Nano Summit

    Tue, October 24, 2023 Conference
    Boston Marriott Cambridge

    On October 24, 2023, MIT.nano will celebrate its 5th anniversary with The Nano Summit! The first of an annual flagship conference for MIT.nano, this event will highlight the astonishing research being done at MIT and look to the future of nanoscience and engineering.

  • Publication date: October 1, 2010
    Books
    Felice C. Frankel and George M. Whitesides

    No Small Matter: Science on the Nanoscale

  • May 8, 2013
    Department of Chemical Engineering

    Tisdale Lab: Nanomaterials Spectroscopy

    Principal Investigator William Tisdale

  • RD-11.15-16.2022-Panel-Efficiency

    November 16, 2022Conference Video Duration: 36:17

    Brian Anthony
    Faculty Lead, Industry Immersion Program in Mechanical Engineering
    Co-Director, MIT Clinical Research Center
    Associate Director, MIT.nano
    Steve Suarez
    Global Head of Innovation, Global Functions, HSBC
    Anu Agarwal
    Principal Research Scientist, Initiative for Knowledge and Innovation in Manufacturing
    Valentin Heun
    Vice President of Innovation Engineering, PTC
    Dexter Ang
    CEO and Co-founder, Pison

     

  • Donna
    H
    Rhodes

    Principal Research Scientist
    Primary DLC
    Sociotechnical Systems Research Center

    Contact

    MIT Room
    E17-361
    Phone
    (617) 324-0473
    rhodes@mit.edu
  • Celi
    May 9, 2016 ILP Faculty Feature

    Crowdsourcing Clinical Care Research

  • 4.12.22-Health-Science-Jongyoon-Han

    April 12, 2022Conference Video Duration: 26:33
    Jongyoon Han
    Professor of Electrical Engineering and Professor of Biological Engineering
  • Kalyan Veeramachaneni - 2018 ICT Conference

    April 11, 2018Conference Video Duration: 32:54

    Build AI Products Faster, Cheaper

    Attempts to embed machine learning-based predictive models to make products smarter, faster, cheaper, and more personalized will dominate activity in the technology industry for the foreseeable future. Veeramachaneni and MIT researchers are proposing a paradigm shift from the current practice of creating machine learning models that requires months-long discovery, exploration and “feasibility report” generation, followed by re-engineering for deployment, in favor of a rapid 8 week long process of development, understanding, validation and deployment that can executed by developers or subject matter experts using reusable APIs.

    2018 MIT Information and Communication Technologies Conference

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