Experimental News Clipping Site

Tag: jupyter

  • Docker: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows

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    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/ai-science-agents-research-workflows/ Source: Docker Title: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows Feedly Summary: It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next…

  • Hamel’s Blog: Selecting The Right AI Evals Tool

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    by

    Kurt Seifried
    in

    Source URL: https://hamel.dev/blog/posts/eval-tools/ Source: Hamel’s Blog Title: Selecting The Right AI Evals Tool Feedly Summary: Over the past year, I’ve focused heavily on AI Evals, both in my consulting work and teaching. A question I get constantly is, “What’s the best tool for evals?”. I’ve always resisted answering directly for two reasons. First, people focus…

  • Cloud Blog: Google Distributed Cloud at the edge powers U.S. Air Force Mobility Guardian 2025

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-distributed-cloud-at-the-edge-powers-us-air-force-mobility-guardian-2025/ Source: Cloud Blog Title: Google Distributed Cloud at the edge powers U.S. Air Force Mobility Guardian 2025 Feedly Summary: For today’s mission owner, operating effectively in denied, degraded, intermittent, and limited bandwidth (DDIL) environments is paramount. The Department of Defense’s strategy requires smaller, dispersed teams to function autonomously, creating a critical need…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • Cloud Blog: SandboxAQ: Accelerating drug discovery through cloud integration

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/sandboxaq-speeds-up-drug-discovery-with-the-cloud/ Source: Cloud Blog Title: SandboxAQ: Accelerating drug discovery through cloud integration Feedly Summary: The traditional drug discovery process involves massive capital investments, prolonged timelines, and is plagued with daunting failure rates. From initial research to obtaining regulatory approval, bringing a new drug to market can take decades. During this time, many drug…