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  • LIMITEDHow Neural Radiance Fields (NeRF) and Instant Neural Graphics Primitives work
    wpadmin
    39

    How Neural Radiance Fields (NeRF) and Instant Neural Graphics Primitives work

    Neural radiance fields (NeRFs) slowly become the next hot topic in the world of Deep Learning. Since they were originally…

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  • BOTHow we’re supporting better tropical cyclone prediction with AI
    wpadmin
    46

    How we’re supporting better tropical cyclone prediction with AI

    Research Published 12 June 2025 Authors Weather Lab team We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re…

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  • GENERATIVEIt Takes A Species To Raise An AI
    wpadmin
    28

    It Takes A Species To Raise An AI

    People in the humanities are aghast at the lies confabulated by current LLMs. To them, I say: Just wait. This…

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  • LIMITEDDon’t Miss this Year’s Chatbot Conference | by Cassandra C.
    wpadmin
    46

    Don’t Miss this Year’s Chatbot Conference | by Cassandra C.

    Since 2017, the Chatbot Conference has become a key gathering for AI professionals, innovators, and enthusiasts. Each year, the series…

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  • GENERATIVEAI-Generated Masterpieces: The Blurring Lines Between Human and Machine Creativity
    wpadmin
    26

    AI-Generated Masterpieces: The Blurring Lines Between Human and Machine Creativity

    Hey there! Just the other day, I was admiring a beautiful painting at a local art gallery when I learned…

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  • MACHINEInterview with Flávia Carvalhido: Responsible multimodal AI
    wpadmin
    45

    Interview with Flávia Carvalhido: Responsible multimodal AI

    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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  • MACHINEHow to Set Up MLflow on AWS with Terraform: A Step-by-Step Guide
    wpadmin
    36

    How to Set Up MLflow on AWS with Terraform: A Step-by-Step Guide

    Deploying machine learning models can be daunting, particularly when considering the best environment to host your models. AWS and GCP…

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  • BOTA new way to test how well AI systems classify text | MIT News
    wpadmin
    82

    A new way to test how well AI systems classify text | MIT News

    Is this movie review a rave or a pan? Is this news story about business or technology? Is this online…

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  • GENERATIVEThe Madman And The Critic
    wpadmin
    25

    The Madman And The Critic

    If you go to a fiction writer’s workshop they may tell you about the “madman and the critic” and they…

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  • LEARNINGCambio climático, riesgo contundente para sostenibilidad de compañías aseguradoras
    wpadmin
    32

    Cambio climático, riesgo contundente para sostenibilidad de compañías aseguradoras

    Dentro de las causas que han generado los gastos recientemente cubiertos por las aseguradoras, se incluyen el año más caluroso…

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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
    Researchers glimpse the inner workings of protein language models | MIT News

    Researchers glimpse the inner workings of protein language models | MIT News

    Early Language Models and the Morris Worm

    Early Language Models and the Morris Worm

    Copilot in Action: Practical Examples of Boosting Efficiency with Microsoft for Your Business

    Copilot in Action: Practical Examples of Boosting Efficiency with Microsoft for Your Business

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    #IJCAI2025 social media round-up: part one

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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
    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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