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  • BOTMIT tool visualizes and edits “physically impossible” objects | MIT News
    wpadmin
    280

    MIT tool visualizes and edits “physically impossible” objects | MIT News

    M.C. Escher’s artwork is a gateway into a world of depth-defying optical illusions, featuring “impossible objects” that break the laws…

    Read More »
  • GENERATIVEMidjourney V7: Faster, smarter, more realistic
    wpadmin
    196

    Midjourney V7: Faster, smarter, more realistic

    Midjourney has unveiled its long-awaited V7 image generation model – its first major upgrade in over a year. Now available…

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  • LIMITEDSSP Performance Optimization: Management Strategies for Publishers
    wpadmin
    201

    SSP Performance Optimization: Management Strategies for Publishers

    Publishers operating in today’s programmatic advertising environment face intense competition for advertiser attention and budget allocation. Success depends on implementing…

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  • LEARNINGBringing Engineering Discipline to Prompts—Part 1 – O’Reilly
    wpadmin
    196

    Bringing Engineering Discipline to Prompts—Part 1 – O’Reilly

    The following is Part 1 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Context…

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  • REACTIVEData Machina #251 – Data Machina
    wpadmin
    175

    Data Machina #251 – Data Machina

    Six Nerdy AI Activities for the Long W/E. I’ve just read that lots of AI engineers in the US are…

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  • LIMITEDHow distributed training works in Pytorch: distributed data-parallel and mixed-precision training
    wpadmin
    225

    How distributed training works in Pytorch: distributed data-parallel and mixed-precision training

    In this tutorial, we will learn how to use nn.parallel.DistributedDataParallel for training our models in multiple GPUs. We will take…

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  • BOTLiquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
    wpadmin
    313

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

    Liquid AI has officially released LFM2-VL, a new family of vision-language foundation models optimized for low-latency, on-device deployment. With two…

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  • LIMITEDHow to Build a Data-Led People Strategy That Actually Works
    wpadmin
    192

    How to Build a Data-Led People Strategy That Actually Works

    Leading companies are moving away from gut instinct and outdated methods when making talent decisions. Instead, they are embracing people…

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  • LEARNINGHow a furniture retailer automated order confirmation processing
    wpadmin
    191

    How a furniture retailer automated order confirmation processing

    Photo by Jessie McCall / Unsplash Summary: See how AI-powered document processing helped them cut 70+ hours…

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  • LIMITEDRun Ollama Models Locally and make them Accessible via Public API
    wpadmin
    253

    Run Ollama Models Locally and make them Accessible via Public API

    Introduction Running Large Language Models (LLMs) and other open-source models locally offers significant advantages for developers. This is where Ollama…

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