Experimental News Clipping Site

Tag: 01

  • Slashdot: CoreWeave To Spend Up To $23 Billion This Year To Tap AI Demand Boom

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    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/05/15/001248/coreweave-to-spend-up-to-23-billion-this-year-to-tap-ai-demand-boom?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: CoreWeave To Spend Up To $23 Billion This Year To Tap AI Demand Boom Feedly Summary: AI Summary and Description: Yes **Summary:** CoreWeave’s significant investment in AI infrastructure, backed by Nvidia, is aimed at addressing the increasing demand for AI capabilities, particularly from clients like Microsoft and OpenAI. This…

  • Cloud Blog: A guide to Google ADK and MCP integration with an external server

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/use-google-adk-and-mcp-with-an-external-server/ Source: Cloud Blog Title: A guide to Google ADK and MCP integration with an external server Feedly Summary: For AI-powered agents to perform useful, real-world tasks, they need to reliably access tools and up-to-the-minute information that lives outside the base model. Anthropic’s Model Context Protocol (MCP) is designed to address this, providing…

  • CSA: ISO 42001 Requirements Explained: Achieve Compliance

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/iso-42001-requirements-explained-what-you-need-for-compliance Source: CSA Title: ISO 42001 Requirements Explained: Achieve Compliance Feedly Summary: AI Summary and Description: Yes Summary: ISO 42001:2023 represents a pioneering compliance framework for managing and securing AI systems, emphasizing the ethical and transparent use of AI. Its structured approach, similar to existing ISO standards, mandates organizations to implement and maintain…

  • Cloud Blog: Cool stuff customers built, May edition: Visual scouts, racing agents, agile ads & more

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/customers/cool-stuff-google-cloud-customers-built-monthly-round-up/ Source: Cloud Blog Title: Cool stuff customers built, May edition: Visual scouts, racing agents, agile ads & more Feedly Summary: AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on…

  • Slashdot: The Stealthy Lab Cooking Up Amazon’s Secret Sauce

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/05/12/2124207/the-stealthy-lab-cooking-up-amazons-secret-sauce?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The Stealthy Lab Cooking Up Amazon’s Secret Sauce Feedly Summary: AI Summary and Description: Yes Summary: Amazon’s acquisition of Annapurna Labs is a cornerstone of its artificial intelligence strategy, enhancing its cloud computing infrastructure with custom silicon. The deal has positioned Amazon as a leader in AI technology, particularly…

  • SDx Central: IBM Hackers, Cloud Security Alliance Take On IoT at Black Hat

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    Kurt Seifried
    in

    Source URL: https://www.sdxcentral.com/news/ibm-hackers-cloud-security-alliance-take-on-iot-at-black-hat/ Source: SDx Central Title: IBM Hackers, Cloud Security Alliance Take On IoT at Black Hat Feedly Summary: IBM Hackers, Cloud Security Alliance Take On IoT at Black Hat AI Summary and Description: Yes **Summary:** The text discusses the emerging cybersecurity challenges posed by IoT devices, highlighted by recent findings at the Black…

  • Cloud Blog: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-contribution-analysis-models-now-ga/ Source: Cloud Blog Title: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA Feedly Summary: The key to effective data-driven decision making is quickly processing and extracting insights from large amounts of data. However, doing this efficiently and at scale is a challenge.  Imagine a retail scenario where…