Tag: interactions

  • Cloud Blog: Looker adds AI-fueled visual, conversational data exploration, continuous integration

    Source URL: https://cloud.google.com/blog/products/data-analytics/looker-bi-platform-gets-ai-powered-data-exploration/ Source: Cloud Blog Title: Looker adds AI-fueled visual, conversational data exploration, continuous integration Feedly Summary: Today at Google Cloud Next ‘25, we’re announcing a major step in making Looker the most powerful platform for data analysis and exploration,by enhancing it with powerful AI capabilities and a new reporting experience, all built on…

  • Simon Willison’s Weblog: llm-fragments-go

    Source URL: https://simonwillison.net/2025/Apr/10/llm-fragments-go/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-go Feedly Summary: llm-fragments-go Filippo Valsorda released the first plugin by someone other than me that uses LLM’s new register_fragment_loaders() plugin hook I announced the other day. Install with llm install llm-fragments-go and then: You can feed the docs of a Go package into LLM using the…

  • The Register: Amazon Nova Sonic AI doesn’t just hear you, it takes tonal cues too

    Source URL: https://www.theregister.com/2025/04/10/amazon_nova_sonic_speech_model/ Source: The Register Title: Amazon Nova Sonic AI doesn’t just hear you, it takes tonal cues too Feedly Summary: The foundation model supports real-time bi-directional speech Amazon has introduced a foundation model that claims to grasp not just what you’re saying, but how you’re saying it – tone, hesitation, and more.… AI…

  • Cloud Blog: Day 1 at Google Cloud Next 25 recap

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-day-1-recap/ Source: Cloud Blog Title: Day 1 at Google Cloud Next 25 recap Feedly Summary: Hello from Google Cloud Next 25 in Las Vegas! This year, it’s all about how AI can reimagine work and improve our lives — even bringing Hollywood classics like The Wizard of Oz to life on one of…

  • Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…

  • Cloud Blog: Introducing Firebase Studio and agentic developer tools to build with Gemini

    Source URL: https://cloud.google.com/blog/products/application-development/firebase-studio-lets-you-build-full-stack-ai-apps-with-gemini/ Source: Cloud Blog Title: Introducing Firebase Studio and agentic developer tools to build with Gemini Feedly Summary: Millions of developers use Firebase to engage their users, powering over 70 billion instances of apps every day, everywhere — from mobile devices and web browsers, to embedded platforms and agentic experiences. But full-stack development…

  • Cloud Blog: What’s new with Google Cloud networking

    Source URL: https://cloud.google.com/blog/products/networking/networking-innovations-at-google-cloud-next25/ Source: Cloud Blog Title: What’s new with Google Cloud networking Feedly Summary: The AI era is here, fundamentally reshaping industries and demanding unprecedented network capabilities for training, inference and serving AI models. To power this transformation, organizations need global networking solutions that can handle massive capacity, seamless connectivity, and provide robust security. …

  • Cloud Blog: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/how-gke-powers-ai-innovation/ Source: Cloud Blog Title: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation Feedly Summary: The age of AI is now. In fact, the global AI infrastructure market is on track to increase to more than $200 billion by 2028.  However, working with massive data, intricate models, and relentless iterations…