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  • GENERATIVEAI Laughs At NP-Hardness
    wpadmin
    45

    AI Laughs At NP-Hardness

    The Traveling Salesman Problem (TSP) is NP-Hard. Finding the optimal route to visit even a moderate number of cities would…

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  • LEARNINGAI’s Swiss Cheese – O’Reilly
    wpadmin
    27

    AI’s Swiss Cheese – O’Reilly

    Last month, I spoke with Matthew Prince, cofounder and CEO of Cloudflare, as part of my ongoing series of public…

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  • GENERATIVENo rules, just vibes! What is vibe coding?
    wpadmin
    39

    No rules, just vibes! What is vibe coding?

    In February, OpenAI cofounder and former Tesla AI director Andrej Karpathy coined a phrase that quickly sparked fascination, debate, and…

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  • REACTIVEBuild a Simple OpenAI App in Python
    wpadmin
    43

    Build a Simple OpenAI App in Python

    Build a Simple OpenAI App in Python Looking to get started with AI and automation? Build a Simple OpenAI App…

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  • LIMITEDHow AI Is Changing Finance: A Closer Look at the Sector’s Digital Transformation
    wpadmin
    51

    How AI Is Changing Finance: A Closer Look at the Sector’s Digital Transformation

    Artificial Intelligence (AI) is revolutionizing the finance sector in ways we could not have dreamed of a few short years…

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  • BOTFunction Calling at the Edge – The Berkeley Artificial Intelligence Research Blog
    wpadmin
    49

    Function Calling at the Edge – The Berkeley Artificial Intelligence Research Blog

    The ability of LLMs to execute commands through plain language (e.g. English) has enabled agentic systems that can complete a…

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  • BOTSchool of Architecture and Planning welcomes new faculty for 2025 | MIT News
    wpadmin
    103

    School of Architecture and Planning welcomes new faculty for 2025 | MIT News

    Four new faculty members join the School of Architecture and Planning (SA+P) this fall, offering the MIT community creativity, knowledge,…

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  • GENERATIVEPhi-4 – small models, big results
    wpadmin
    45

    Phi-4 – small models, big results

    The Phi-4 family is Microsoft’s latest advancement in small language models (SLMs), designed to excel in complex reasoning tasks while…

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  • REACTIVEData Machina #253 – Data Machina
    wpadmin
    29

    Data Machina #253 – Data Machina

    The Google AI Blast . This week OpenAI released a new closed model called GPT-4o (as in omni): Hello GPT-4o,…

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  • LIMITEDHow diffusion models work: the math from scratch
    wpadmin
    40

    How diffusion models work: the math from scratch

    Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images. They have already attracted a…

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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
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    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.
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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
  • 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
    Data Machina #257 – by Carlos

    Data Machina #257 – by Carlos

    How diffusion models work: the math from scratch

    How diffusion models work: the math from scratch

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    Cyborg Insects Update 2 – MetaDevo

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    MIT gears up to transform manufacturing | MIT News

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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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