Tag: features
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New York Times – Artificial Intelligence : Google Unveils ‘A.I. Mode’ Chatbot, Signaling a New Era for Search
Source URL: https://www.nytimes.com/2025/05/20/technology/personaltech/google-ai-mode-search.html Source: New York Times – Artificial Intelligence Title: Google Unveils ‘A.I. Mode’ Chatbot, Signaling a New Era for Search Feedly Summary: The tech giant is taking its next big step in artificial intelligence by adding interactive capabilities to its flagship product. AI Summary and Description: Yes Summary: The text discusses a significant…
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Gemini: Introducing Google AI Ultra: The best of Google AI in one subscription
Source URL: https://blog.google/products/google-one/google-ai-ultra/ Source: Gemini Title: Introducing Google AI Ultra: The best of Google AI in one subscription Feedly Summary: Learn about Google AI Ultra, Google’s new AI subscription with the highest access to our most capable models and premium features. AI Summary and Description: Yes Summary: The text discusses Google AI Ultra, which represents…
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Cloud Blog: Gemini 2.5 Flash and Pro expand on Vertex AI to drive more sophisticated and secure AI innovation
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/expanding-gemini-2-5-flash-and-pro-capabilities/ Source: Cloud Blog Title: Gemini 2.5 Flash and Pro expand on Vertex AI to drive more sophisticated and secure AI innovation Feedly Summary: Today at Google I/O, we’re expanding Gemini 2.5 Flash and Pro model capabilities that help enterprises build more sophisticated and secure AI-driven applications and agents: Thought summaries: For enterprise-grade…
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Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale
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…