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2219 search results found
  • August 1, 2008

    Linking Customer Loyalty to Growth

  • 2024 MIT Sustainability Conference: MIT Climate & Sustainability Consortium Project Highlights

    October 22, 2024Conference Video Duration: 34:22

    MIT Climate & Sustainability Consortium Project Highlights
    Introduction and Update
    Jeremy Gregory
    Executive Director, MIT Climate & Sustainability Consortium

    The Climate and Sustainability Implications of Generative AI
    Noman Bashir
    Computing & Climate Impact Fellow, MIT Climate & Sustainability Consortium

    The rapid expansion of generative artificial intelligence (Gen-AI) neglects consideration of negative effects alongside expected benefits. This incomplete cost calculation promotes unchecked growth and a risk of unjustified techno-optimism with potential environmental consequences, including expanding demand for computing power, larger carbon footprints, and an accelerated depletion of natural resources. The current siloed focus on efficiency improvements results instead in increased adoption without fundamentally considering the vast sustainability implications of Gen-AI. 

    In this talk, I will propose that responsible development of Gen-AI requires a focus on sustainability beyond only efficiency improvements and necessitates benefit-cost evaluation frameworks that encourage (or require) Gen-AI to develop in ways that support social and environmental sustainability goals alongside economic opportunity. However, a comprehensive value consideration is complex and requires detailed analysis, coordination, innovation, and adoption across diverse stakeholders. Engaging stakeholders, including technical and sociotechnical experts, corporate entities, policymakers, and civil society, in a benefit-cost analysis would foster development in the most urgent and impactful directions while reducing unsustainable practices. More details are in our white paper, which is accessible at MIT Gen-AI Sustainability White Paper.

    A Cautionary Tale about Deep Learning-based Climate Emulators
    Björn Lütjens
    Postdoctoral Associate, MIT Department of Earth, Atmospheric, and Planetary Sciences

    Climate models are computationally very expensive for exploring the impacts of climate policies. For example, simulating the impacts of a single policy emission scenario can take multiple weeks and cost hundreds of thousands of USD in computing. Compellingly, deep learning models can now forecast the weather in seconds rather than hours in comparison to conventional weather models and are being proposed to achieve similar reductions by approximating climate models. Climate approximations or emulators, however, have already been developed since the 1990s and I will present how we implemented a linear regression-based emulator that outperforms a novel 100M-parameter transformer-based deep learning emulator on the most common climate emulation benchmark. I will use our results to discuss more nuanced insights highlighting how chaotic dynamics influence emulator performance and use cases where deep-learning emulators can improve existing linear emulators. 

    Collaborative Development of an Interactive Decision Support Tool for Trucking Fleet Decarbonization
    Danika MacDonell
    Impact Fellow, MIT Climate & Sustainability Consortium

    This presentation shares the journey of creating an interactive geospatial decision support tool in close collaboration with industry and academic partners of the MIT Climate & Sustainability Consortium. The tool leverages comprehensive public data on freight flows, costs, emissions, infrastructure, and regulatory incentives. Integrating key insights and methodologies from our partners, it aims to assist trucking industry stakeholders in identifying and assessing strategies to transition fleets to low-carbon energy carriers.

  • Yogesh
    Surendranath

    Professor of Chemistry
    Primary DLC
    Department of Chemistry

    Contact

    MIT Room
    18-292
    Phone
    (617) 253-2664
    yogi@mit.edu

    Assistant

    Assistant Name
    Joanne Baldini
    Assistant phone number
    (617) 253-1848
    jbaldini@mit.edu
  • Spintronics: Putting a spin on electronics for low-power computing (Repeat)

    Tue, October 27, 2020 Webinar
    Webinar: MRL-ILP Webinar Series

    Meeting future computing needs requires new materials and phenomena that can overcome barriers to current technologies that are approaching their fundamental limits. Today’s microelectronics use the electron’s charge to encode and manipulate information, but the electron’s spin degree of freedom is emerging as a source of untapped potential for low-power, high-performance computing.

  • Microphotonics Everywhere (Repeat)

    Tue, November 3, 2020 Webinar
    Webinar: MRL-ILP Webinar Series

    Following the same paradigm shift that integrated circuits has brought to microelectronics, photonic integration is starting to transform almost every aspects of optics by enabling chip-scale microphotonic systems with performances rivaling their conventional bulk counterparts. New materials, device architectures and system integration approaches combined are defining and expediting the upcoming microphotonic revolution.

  • Drazen
    Prelec

    Digital Equipment Corporation Leaders for Global Operations Professor of Management
    Primary DLC
    MIT Sloan School of Management

    Contact

    MIT Room
    E62-540
    Phone
    (617) 253-2833
    dprelec@mit.edu

    Assistant

    Assistant Name
    Nikolas Hill
    Assistant phone number
    (617) 715-4822
    nkh@mit.edu
  • Fredo
    Durand

    Amar Bose Professor of Computing
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    MIT Room
    32-D424
    Phone
    (617) 253-7223
    fredo@mit.edu

    Assistant

    Assistant Name
    Roger White
    Assistant phone number
    (617) 715-5829
    whiter@csail.mit.edu
  • Bangkok2024-Card

    2024 MIT Bangkok Symposium

    Thu, January 18, 2024 Conference
    Bangkok, Thailand

    MIT faculty will be joined by MIT-connected startups to facilitate conversations with senior executives from Thailand to foster dialogue, share insights, and cultivate a roadmap for effective collaboration. Through a multifaceted exploration of challenges and opportunities, participants will contribute to shaping a future where industry and academia work together with local government to address pressing sustainability issues, with a focus on how MIT-industry collaboration can accelerate substantial results. 

  • William
    D
    Oliver

    Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    MIT Room
    13-3050
    Phone
    (617) 258-6018
    william.oliver@mit.edu
  • Mary
    Larsen
    Bouxsein

    HST Affiliated Faculty
    Primary DLC
    Harvard-MIT Program in Health Sciences and Technology

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