Tag: dataset

  • Slashdot: Seagate Working To Develop a 100TB Hard Drive By 2030

    Source URL: https://hardware.slashdot.org/story/25/05/07/1734205/seagate-working-to-develop-a-100tb-hard-drive-by-2030?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Seagate Working To Develop a 100TB Hard Drive By 2030 Feedly Summary: AI Summary and Description: Yes Summary: Seagate is pioneering the development of a 100-terabyte hard drive, a move fueled by the soaring demand for high-capacity storage in data centers, particularly spurred by the growth of artificial intelligence…

  • Cloud Blog: Guide to build MCP servers using vibe coding with Gemini 2.5 Pro

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-mcp-servers-using-vibe-coding-with-gemini-2-5-pro/ Source: Cloud Blog Title: Guide to build MCP servers using vibe coding with Gemini 2.5 Pro Feedly Summary: Have you ever had something on the tip of your tongue, but you weren’t exactly sure how to describe what’s in your mind?  For developers, this is where “vibe coding " comes in. Vibe…

  • Cloud Blog: Palo Alto Networks’ journey to productionizing gen AI

    Source URL: https://cloud.google.com/blog/topics/partners/how-palo-alto-networks-builds-gen-ai-solutions/ Source: Cloud Blog Title: Palo Alto Networks’ journey to productionizing gen AI Feedly Summary: At Google Cloud, we empower businesses to accelerate their generative AI innovation cycle by providing a path from prototype to production. Palo Alto Networks, a global cybersecurity leader, partnered with Google Cloud to develop an innovative security posture…

  • Wired: These Startups Are Building Advanced AI Models Without Data Centers

    Source URL: https://www.wired.com/story/these-startups-are-building-advanced-ai-models-over-the-internet-with-untapped-data/ Source: Wired Title: These Startups Are Building Advanced AI Models Without Data Centers Feedly Summary: A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. AI Summary and Description: Yes Summary: The text discusses an innovative crowd-trained…

  • Slashdot: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’

    Source URL: https://developers.slashdot.org/story/25/04/29/1837239/ai-generated-code-creates-major-security-risk-through-package-hallucinations?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’ Feedly Summary: AI Summary and Description: Yes Summary: The study highlights a critical vulnerability in AI-generated code, where a significant percentage of generated packages reference non-existent libraries, posing substantial risks for supply-chain attacks. This phenomenon is more prevalent in open…

  • Cloud Blog: What’s new with BigQuery AI and ML?

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…

  • Cloud Blog: Introducing BigQuery DataFrames 2.0 for the era of multimodal data science

    Source URL: https://cloud.google.com/blog/products/data-analytics/a-closer-look-at-bigquery-dataframes-2-0/ Source: Cloud Blog Title: Introducing BigQuery DataFrames 2.0 for the era of multimodal data science Feedly Summary: For data scientists and ML engineers, building analysis and models in Python is almost second nature, and Python’s popularity in the data science community has only skyrocketed with the recent generative AI boom. We believe…