Research1 min read
Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.
From Google DeepMind blog
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Research1 min read
We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.
From Google DeepMind blog
AI1 min read
Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.
From MIT News: artificial intelligence
Research1 min read
Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.
From Google DeepMind blog
Models1 min read
Text "Gemini Omni and Personal Avatars in Google Vids" surrounded by various images
From Google AI blog
Research1 min read
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
From Google DeepMind blog
AI1 min read
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
From MIT News: artificial intelligence
AI1 min read
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
From MIT News: artificial intelligence
AI1 min read
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
From MIT News: artificial intelligence
Models1 min read
Google Images logo surrounded by illustrations of people searching for different images
From Google AI blog
Research1 min read
Microsoft Research developed a method to verify cryptographic code written in Rust, focusing on SymCrypt. This approach aims to ensure code integrity while maintaining performance and adaptability during implementation and evolution.
From Microsoft Research
Research1 min read
Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.
From Google DeepMind blog
Research1 min read
Microsoft Research released Aurora 1.5, expanding the foundation model with 22 new variables, hourly resolution, and ensemble forecasting. This update improves its suitability for real-world weather, climate, and energy applications.
From Microsoft Research
Research1 min read
Flint is an open-source visualization language enabling AI agents to generate expressive charts from concise specifications. It provides a middle ground between simple chart specifications and complex manual chart creation.
From Microsoft Research
Models1 min read
Google announces updates to Gemini API, including background tasks, remote MCP, and more. Engineers can now manage and scale agents more efficiently.
From Google AI blog
Research1 min read
Google DeepMind and A24 have initiated a research partnership focused on developing advanced AI agents. The collaboration aims to explore the use of large language models in creative workflows, specifically for scriptwriting.
From Google DeepMind blog
Research1 min read
Google DeepMind has released Nano Banana 2 Lite, a smaller language model, and Gemini Omni Flash, a new flash storage solution optimized for AI workloads. These tools are designed to enable efficient and cost-effective AI development and deployment.
From Google DeepMind blog
Research1 min read
Google DeepMind has introduced the ability for Gemini 3.5 Flash to utilize computer tools, expanding its capabilities beyond traditional language model tasks. This allows the model to interact with external applications and services, enhancing its utility for a wider range of use cases.
From Google DeepMind blog
Research1 min read
Google DeepMind and the UK government have collaborated on an AI prototype to accelerate housing planning decisions. The system utilizes AI to analyze planning data, aiming to reduce the time taken for approvals.
From Google DeepMind blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.