Actualités
Google AI Releases ADK Go: A New Open-Source Toolkit Designed to Empower Go Developers to Build Powerful AI Agents
How do you build reliable AI agents that plug into your existing Go services without...
Google AI Just Released Gemini 3.7 Flash: A Coding and Agent Model at $0.75/1M Input Tokens
Google has released Gemini 3.7 Flash, the newest model in its Flash tier, three weeks...
Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents
Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to...
Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression
Google Research introduced TabFM, a foundation model built for tabular data. TabFM performs classification and...
Google AI Introduces Personal Health Agent (PHA): A Multi-Agent Framework that Enables Personalized Interactions to Address Individual Health Needs
Table of contents What is a Personal Health Agent? How does the PHA framework operate?...
Google AI Introduces PaperBanana: An Agentic Framework that Automates Publication Ready Methodology Diagrams and Statistical Plots
Generating publication-ready illustrations is a labor-intensive bottleneck in the research workflow. While AI scientists can...
Google AI Introduces PaperBanana: An Agentic Framework that Automates Publication Ready Methodology Diagrams and Statistical Plots
Generating publication-ready illustrations is a labor-intensive bottleneck in the research workflow. While AI scientists can...
Google AI Introduces Multi-Agent System Search MASS: A New AI Agent Optimization Framework for Better Prompts and Topologies
Multi-agent systems are becoming a critical development in artificial intelligence due to their ability to...
Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space
Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation...
Google AI Introduces FLAME Approach: A One-Step Active Learning that Selects the Most Informative Samples for Training and Makes a Model Specialization Super Fast
Open vocabulary object detectors answer text queries with boxes. In remote sensing, zero shot performance...
Google AI Introduces EnvHarness: A Programmable Layer That Turns Static Agent Environments Into Adaptive Training Worlds
A team of researchers from Google Cloud AI Research, Washington University in St. Louis and...
Google AI Introduces ‘Groundsource’: A New Methodology that Uses Gemini Model to Transform Unstructured Global News into Actionable, Historical Data
Google AI Research team recently released Groundsource, a new methodology that uses Gemini model to...
