Source archive
Google AI covers artificial intelligence research, products, and applications across Google’s ecosystem. Its work includes models, search, language, vision, robotics, scientific discovery, and tools that bring AI to developers and users.
Google has announced new capabilities for Managed Agents in the Gemini API, including support for the 3.6 Flash model, as well as the introduction of hooks and triggers. These features are designed to simplify the development and deployment of AI agents.
Why it matters: The update gives developers more powerful and flexible tools for building AI agents, which could accelerate the adoption of agent-based applications.
Google has launched a new initiative aimed at enhancing productivity in the UK through artificial intelligence. The program seeks to build a nation of AI trailblazers by supporting professionals across various roles.
Why it matters: This initiative highlights Google's efforts to promote AI adoption and skills development in the UK, which could positively influence economic productivity.
Google has announced an expansion of managed agents in the Gemini API, introducing support for background tasks and remote MCP. These enhancements are part of a new feature bundle launch aimed at developers.
Why it matters: This update gives developers enhanced agent capabilities within the Gemini API.
Google, the New York Jobs CEO Council, and Urban Assembly hosted an AI summit for 150 education and industry leaders in New York City. The event focused on shaping the future of AI in classrooms.
Why it matters: This summit signals growing collaboration between tech companies and educators to integrate AI into education.
Google has released nine demonstration videos showcasing the capabilities of its new Gemini Omni and Gemini 3.5 models. The demos highlight advanced multimodal and reasoning features.
Why it matters: This marks a significant step in Google's AI model evolution, demonstrating practical applications of next-generation AI.
New research published in Nature shows Google's conversational AI system, AMIE, matches primary care physicians in complex disease management. The study demonstrates AMIE's ability to help manage health conditions effectively.
Why it matters: This research indicates that AI could potentially assist or augment primary care in managing complex diseases, which may improve healthcare accessibility and efficiency.
Students at the University of Waterloo have developed AI prototypes, including a sign language tutor, as part of a collaboration with Google's Futures Lab. These projects aim to address challenges in education and work through innovative AI applications.
Why it matters: These prototypes highlight the potential of AI to address real-world challenges in education and accessibility.