Showing 1 - 6 results of 6 for search '"Schwarzman College of Computing"', query time: 0.25s Refine Results
  1. 1
    Report to the President for year ended June 30, 2023, Laboratory for Information and Decision Systems

    Report to the President for year ended June 30, 2023, Laboratory for Information and Decision Systems by Karaman, Sertac

    Published 2024
    “…This report contains the following sections: Participants and Collaborations; Joining the Stephen A. Schwarzman College of Computing; LIDS Intellectual Vision; LIDS Research Areas; Research Highlights; Events and Communications; Diversity, Equity, and Inclusion; Awards; Honors; Organizational Aspects; Overall Outlook…”
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  2. 2
    Designing and fabricating materials from fire using sonification and deep learning

    Designing and fabricating materials from fire using sonification and deep learning by Mario Milazzo, Markus J. Buehler

    Published 2021-08-01
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    Article
  3. 3
    RES.TLL-008 Social and Ethical Responsibilities of Computing (SERC), Fall 2022

    RES.TLL-008 Social and Ethical Responsibilities of Computing (SERC), Fall 2022 by Shah, Julie, Kaiser, David

    Published 2024
    “…Social and Ethical Responsibilities of Computing (SERC), a cross-cutting initiative of the MIT Schwarzman College of Computing, works to train students and facilitate research to assess the broad challenges and opportunities associated with computing, and improve design, policy, implementation, and impacts. …”
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    Learning Object
  4. 4
    Encoding and exploring latent design space of optimal material structures via a VAE-LSTM model

    Encoding and exploring latent design space of optimal material structures via a VAE-LSTM model by Andrew J. Lew, Markus J. Buehler

    Published 2021-11-01
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    Article
  5. 5
    Words to Matter: De novo Architected Materials Design Using Transformer Neural Networks

    Words to Matter: De novo Architected Materials Design Using Transformer Neural Networks by Zhenze Yang, Zhenze Yang, Markus J. Buehler, Markus J. Buehler

    Published 2021-10-01
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    Article
  6. 6
    End-to-end prediction of multimaterial stress fields and fracture patterns using cycle-consistent adversarial and transformer neural networks

    End-to-end prediction of multimaterial stress fields and fracture patterns using cycle-consistent adversarial and transformer neural networks by Eric L. Buehler, Markus J. Buehler

    Published 2022-12-01
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    Article

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