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Google has released three new Gemini AI models but notably omitted the highly anticipated Gemini 3.5 Pro, prompting speculation about the company's strategic direction.
Google has released three new Gemini models—Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber—designed to be more cost-effective and token-efficient for agentic workloads.
Google has released Gemini 3.6 Flash and 3.5 Flash-Lite to reduce latency and token costs for enterprise AI agents, addressing key economic challenges in AI deployment.
Google has launched three new low-cost Gemini models to compete in the AI race, but the absence of a major rival to GPT-4o raises questions about its long-term strategy.
This article explains the technical concepts behind AI model scaling, token efficiency, and the strategic trade-offs between performance and deployment efficiency in modern AI systems.
Google is reportedly developing a new AI chip designed to make its Gemini models run much more efficiently. The move aims to enhance performance while reducing operational costs and environmental impact.
Google is reportedly developing the 'Frozen v2' chip, which integrates the Gemini AI architecture directly into hardware, promising up to 10 times greater efficiency than current TPUs.
Google is reportedly developing a chip that embeds its Gemini AI model directly into the silicon, a move that could revolutionize AI hardware design. The chip, called 'Frozen v2,' aims to improve performance and efficiency by hardwiring the model into the hardware itself.
Google has updated its Gemini AI usage tracking system, introducing a new rating method that could reduce the number of responses users receive. The change affects both free and paid users, requiring more careful monitoring of AI interactions.
Google is renaming its AI note-taking app NotebookLM to Gemini Notebook, signaling deeper integration with its Gemini platform while maintaining standalone functionality. The rebranding reflects Google's broader strategy to unify its AI products under a cohesive brand identity.
Major publishers and author Scott Turow have sued Google over its use of copyrighted books to train the Gemini AI model, calling it one of the most extensive copyright infringements in AI history.
Waze has integrated Google's Gemini AI assistant to enhance navigation features and compete with rivals like Apple Maps. The update includes smarter traffic predictions, personalized route suggestions, and improved voice assistance.
