4928 search results found

  • 2024 MIT Digital Technology & Strategy Conference: Generative Models as a Data Source for AI Systems

    September 17, 2024Conference Video Duration: 44:17

    Generative Models as a Data Source for AI Systems

  • Hermano
    I
    Krebs

    Principal Research Scientist
    Primary DLC
    Department of Mechanical Engineering

    Contact

    3-137
    (617) 253-8112
    hikrebs@mit.edu

  • Ernest
    Fraenkel

    Grover M Hermann Professor in Health Sciences and Technology
    Primary DLC
    Department of Biological Engineering

    Contact

    16-241
    (617) 258-8702
    fraenkel@mit.edu

  • 4.5.23-AI-Karaman

    April 5, 2023Conference Video Duration: 29:11
    Future of Aerial Vehicles Enabled by Agile Autonomy 

  • Hermano
    I
    Krebs

    Principal Research Scientist
    Primary DLC
    Department of Mechanical Engineering

    Contact

    3-137
    (617) 253-8112
    hikrebs@mit.edu

    Assistant

    Katey Stewart
    (617) 253-5338
    kstew@mit.edu

  • Ann
    M
    Graybiel

    Institute Professor
    Primary DLC
    Department of Brain and Cognitive Sciences

    Contact

    46-6133
    (617) 253-5785
    graybiel@mit.edu

  • Bernardo
    Zacka

    Associate Professor of Political Science
    Primary DLC
    Department of Political Science

    Contact

    E53-429
    (617) 324-5652
    nardoz@mit.edu

  • Advanced Design and Manufacturing: Utilizing AI for Advanced Design

    October 10, 2024Conference Video Duration: 26:27
     
    Utilizing AI for Advanced Design
    Faez Ahmed
    ABS Career Development Assistant Professor, MIT Department of Mechanical Engineering
    Generative AI is reshaping many industries by offering innovative content-creation approaches. While tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. This talk will explore some of these challenges, with an emphasis on achieving designs that are innovative, feasible, and achieve high functional performance. We will examine case studies across various engineering disciplines, such as kinematic design.  Furthermore, we will explore how precision-focused generative AI can transcend mere mimicking statistical patterns to address performance, constraints, and innovation in engineering. The talk will show examples of AI-drive design co-pilots for engineering tasks, along with covering methods that effectively combine multimodal generative models with engineering optimization and tools, highlighting how this fusion augments the design process. The presentation will conclude by highlighting the broader impact of generative AI in facilitating design democratization and fostering rapid innovation across the engineering sector.

  • 5.5.22-Efficient-AI-Antonio-Torralba

    May 5, 2022Conference Video Duration: 30:28
    Antonio Torralba
    Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science
    Head AI+D (AI & Decision Making) faculty, EECS
    Computer Science and Artificial Intelligence Laboratory

  • Edward
    F
    Crawley

    Ford Foundation Professor of Engineering
    Primary DLC
    Department of Aeronautics and Astronautics

    Contact

    33-413
    (617) 253-7510
    crawley@mit.edu

    Assistant

    Alisyn Johnson
    (617) 253-3291
    alisyn@mit.edu