Experimental News Clipping Site

Tag: visualization

  • Cloud Blog: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/introducing-g4-vm-with-nvidia-rtx-pro-6000/ Source: Cloud Blog Title: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond Feedly Summary: Today, we’re excited to announce the preview of our new G4 VMs based on NVIDIA RTX PRO 6000 Blackwell Server edition — the first cloud provider to do so. This follows…

  • Transformer Circuits Thread: Circuits Updates

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    Kurt Seifried
    in

    Source URL: https://transformer-circuits.pub/2025/april-update/index.html Source: Transformer Circuits Thread Title: Circuits Updates Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses emerging research and methodologies in the field of machine learning interpretability, specifically focusing on large language models (LLMs). It examines the mechanisms by which these models respond to harmful requests (like making bomb instructions)…

  • Cloud Blog: How to build a digital twin to boost resilience

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/how-to-build-a-digital-twin-to-boost-resilience/ Source: Cloud Blog Title: How to build a digital twin to boost resilience Feedly Summary: “There’s no red teaming on the factory floor,” isn’t an OSHA safety warning, but it should be — and for good reason. Adversarial testing in most, if not all, manufacturing production environments is prohibited because the safety…

  • Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

  • Cloud Blog: SAP & Google Cloud: Enabling faster value and smarter innovation for business excellence

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/sap-google-cloud/google-cloud-at-sap-sapphire-2025/ Source: Cloud Blog Title: SAP & Google Cloud: Enabling faster value and smarter innovation for business excellence Feedly Summary: SAP and Google Cloud are deepening their collaboration across data analytics, AI, security, and more to deliver what customers need most: faster paths to business value, lower risk on complex projects, and smart,…

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

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    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: Evaluate your gen media models with multimodal evaluation on Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-your-gen-media-models-on-vertex-ai/ Source: Cloud Blog Title: Evaluate your gen media models with multimodal evaluation on Vertex AI Feedly Summary: The world of generative AI is moving fast, with models like Lyria, Imagen, and Veo now capable of producing stunningly realistic and imaginative images and videos from simple text prompts. However, evaluating these models is…

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

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    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…