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5252 search results found
  • July 1, 2020
    Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)

    Interpretable and Transferable Prediction and Extraction Methods for Medical Reports

    Principal Investigator Tommi Jaakkola

  • MIT AI in Software Engineering Forum

    Wed, April 2, 2025 Conference
    MIT Industry Meeting Center (E90)

    The MIT AI in Software Engineering Forum is an exclusive event for MIT Industrial Liaison Program (ILP) members and select guests. This forum offers a unique opportunity to explore the transformative role of AI and machine learning in software development. It will bring together software engineering leaders from top global organizations for a day of cutting-edge insights, innovation, and networking.

  • February 17, 2015
    Department of Electrical Engineering and Computer Science

    Institute for Data, Systems and Society (IDSS): Analytical Disciplines

    Principal Investigator Munther Dahleh

  • William Oliver
    July 15, 2020 ILP Faculty Feature

    MIT Engages the Era of Quantum Engineering

    William Oliver

  • 4.12.22-Health-Science-Parisa-Yousefpour

    April 12, 2022Conference Video Duration: 28:5
    Parisa Yousefpour
    Postdoctoral Associate, Darrell Irvine Lab, Koch Institute for Integrative Cancer Research at MIT
  • 4.12.22-Health-Science-Ran-Zheng

    April 12, 2022Conference Video Duration: 22:56
    Ran Zheng
    CEO, Landmark Bio
  • October 25, 2017
    Department of Electrical Engineering and Computer Science

    CSAIL-Qatar Computing Research Institute (QCRI) Program

    Principal Investigator Samuel Madden

  • Engineering a Sustainable Future: Masha Folk & Sarwar Khan

    October 9, 2025Conference Video Duration: 54:13

    Masha Folk
    Charles Stark Draper Career Development Professor, MIT AeroAstro

    Sarwar Khan
    Sustainability Director, BT Group

  • Members Only

    Health Science Technologies @MIT

    Thu, March 25, 2021 Webinar
    Leading Edge Roundtable – AI, PERTURBATION, INTEGRATION, DISCOVERY

    The pharmaceutical industry has experienced an extraordinary rise in the generation and use of enormous datasets. Nevertheless, there remain great challenges on this front regarding everything from target identification to understanding the performance of marketed products. In the context of this broad impact, we have assembled a group of leading researchers and executives from the MIT-connected community who will address questions of discovery, data integration, and system perturbation analysis, including use of artificial intelligence and machine learning techniques. What is the impact of current developments on high-throughput profiling, computational biology, and validation of gene targets? How do these developments impact the use of chemical libraries, drug-delivery systems, and patient-facing objectives? These are the types of questions that will be addressed in this exciting panel discussion.

  • 04.30.24-Startup-Ecosystem-Conference-Fireside-Chat-Investing-in-Science-Based-Startups

    April 30, 2024Conference Video Duration: 34:20

    Investing in Science Based Startups

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