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  • BOT“FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    wpadmin
    170

    “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…

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  • REACTIVEData Machina #248 – Data Machina
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    88

    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
    188

    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
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    91

    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
    88

    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
    104

    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
    89

    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
    87

    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
    151

    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
    104

    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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  • 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
  • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
  • “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
  • 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.
  • MIT tool visualizes and edits “physically impossible” objects | MIT News
    MIT tool visualizes and edits “physically impossible” objects | MIT News
  • “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
    Our CEO, Vikraman Poduval, spoke to Riyadh Daily about Saal’s innovative AI and Big Data solutions.

    Our CEO, Vikraman Poduval, spoke to Riyadh Daily about Saal’s innovative AI and Big Data solutions.

    The Evolution from Prompt Engineering to Contextual AI in AI Systems

    The Evolution from Prompt Engineering to Contextual AI in AI Systems

    AI Laughs At NP-Hardness

    AI Laughs At NP-Hardness

    Primitive Problem Solving Methods – by Monica Anderson

    Primitive Problem Solving Methods – by Monica Anderson

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