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  • BOT“FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    wpadmin
    124

    “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News

    Music technology took center stage at MIT during “FUTURE PHASES,” an evening of works for string orchestra and electronics, presented…

    Read More »
  • REACTIVEData Machina #248 – Data Machina
    wpadmin
    42

    Data Machina #248 – Data Machina

    Jailbreaking AI Models: It’s easy. Hundreds of millions of dollars have been thrown at AI Safety & Alignment over the…

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  • MACHINEInterview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    wpadmin
    117

    Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks

    In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research.…

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  • LEARNINGThe Observability of Observability – O’Reilly
    wpadmin
    43

    The Observability of Observability – O’Reilly

    Despite the promise of AIOps, the dream of fully automated, self-healing IT environments remains elusive. Generative AI tools may be…

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  • LIMITEDUnderstanding Maximum Likelihood Estimation in Supervised Learning
    wpadmin
    45

    Understanding Maximum Likelihood Estimation in Supervised Learning

    This article demystifies the ML learning modeling process under the prism of statistics. We will understand how our assumptions on…

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  • LEARNINGWhat Ants Teach Us About AI Alignment – O’Reilly
    wpadmin
    54

    What Ants Teach Us About AI Alignment – O’Reilly

    I’ve been thinking a lot lately about a species of carpenter ant that lives in the mountains around Jerusalem. These…

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  • REACTIVEData Machina #250 – Data Machina
    wpadmin
    41

    Data Machina #250 – Data Machina

    Llama 3: A Watershed AI moment? I reckon that the release of Llama 3 is perhaps one of the most…

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  • LIMITEDVision Language models: towards multi-modal deep learning
    wpadmin
    44

    Vision Language models: towards multi-modal deep learning

    Multimodal learning refers to the process of learning representations from different types of modalities using the same model. Different modalities…

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  • LEARNINGPosit AI Blog: torch 0.11.0
    wpadmin
    106

    Posit AI Blog: torch 0.11.0

    torch v0.11.0 is now on CRAN! This blog post highlights some of the changes included in this release. But you…

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  • REACTIVEAtari AI Outsmarts Copilot at Chess
    wpadmin
    42

    Atari AI Outsmarts Copilot at Chess

    Atari AI Outsmarts Copilot at Chess Atari AI Outsmarts Copilot at Chess, and the tech world is taking notice. In…

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  • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
  • MIT tool visualizes and edits “physically impossible” objects | MIT News
    MIT tool visualizes and edits “physically impossible” objects | MIT News
  • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
  • Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
    Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
  • Join Us Tomorrow at the Global Chatbot Conference in San Francisco! | by Cassandra C.
    Join Us Tomorrow at the Global Chatbot Conference in San Francisco! | by Cassandra C.
  • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
  • Data Machina #248 – Data Machina
    Data Machina #248 – Data Machina
  • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
  • The Observability of Observability – O’Reilly
    The Observability of Observability – O’Reilly
  • Understanding Maximum Likelihood Estimation in Supervised Learning
    Understanding Maximum Likelihood Estimation in Supervised Learning
    Understanding AI Agents: The Future of Intelligent Automation

    Understanding AI Agents: The Future of Intelligent Automation

    Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment

    Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment

    Leaders Rebuilding Trust, Privacy, and Care in the Age of AI

    Leaders Rebuilding Trust, Privacy, and Care in the Age of AI

    AlphaEarth Foundations helps map our planet in unprecedented detail

    AlphaEarth Foundations helps map our planet in unprecedented detail

    Most Viewd
    • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
      “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    • MIT tool visualizes and edits “physically impossible” objects | MIT News
      MIT tool visualizes and edits “physically impossible” objects | MIT News
    • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
      Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    • Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
      Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
    Most Popular
    • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
      “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    • Data Machina #248 – Data Machina
      Data Machina #248 – Data Machina
    • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
      Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
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