Google has completed benchmarking tests to evaluate which AI models perform best for Android app development. The company released results identifying top-performing models across coding tasks specific to the Android platform.
Google has launched Canvas, a new feature in Search that transforms AI-assisted search into an interactive workspace. The tool allows US users to build documents, dashboards, and code prototypes directly within the search interface, marking a shift toward positioning search as a collaborative AI assistant rather than a query-answer platform.
CounselBench, a new expert-evaluated benchmark, tested GPT-4, LLaMA 3, Gemini, and other LLMs on 2,000 mental health patient questions rated by 100 clinicians. The study found LLMs frequently provide unauthorized medical advice, overgeneralize, and lack personalization—with models systematically overrating their own performance on safety dimensions.
Researchers introduced CFE-Bench (Classroom Final Exam), a multimodal benchmark using authentic university homework and exam problems across 20+ STEM domains to evaluate LLM reasoning capabilities. Gemini 3.1 Pro Preview achieved the highest score at 59.69% accuracy, while analysis revealed frontier models frequently fail to maintain correct intermediate states in multi-step solutions.
Google has upgraded NotebookLM's video overview feature to generate fully animated videos from research notes and documents, moving beyond the previous narrated slideshow format. The new capability uses multiple Google AI models including Gemini 3 and Veo 3 to automatically create visual content that matches the narrative.
Google has made Canvas in AI mode available to all US-based users in English. The feature enables users to create plans, projects, and applications directly within Gemini.
Google has released Gemini 3.1 Flash-Lite, positioning it as the fastest and most cost-efficient model in its Gemini 3 series. The release targets deployment scenarios requiring high-speed inference at reduced computational cost.
Google DeepMind has released Gemini 3.1 Flash-Lite, positioning it as the fastest and most cost-efficient model in the Gemini 3 series. The release targets applications requiring high-speed inference at scale, continuing Google's multi-tier model strategy across the Gemini family.
Apple has asked Google to set up servers specifically for hosting a new Gemini-powered version of Siri that meets Apple's privacy requirements, according to The Information. This represents a deeper infrastructure partnership beyond the January announcement that Google's Gemini models would power upgraded Siri features.
Google is rolling out its 'Past Chats' personalization feature to free users of the Gemini app globally. The feature allows users to access and reference previous conversations within the app.
Google has detailed AppFunctions, a system that allows Gemini to directly control and interact with Android applications, functioning similarly to Anthropic's Model Context Protocol (MCP). The capability enables AI agents to automate tasks across the Android ecosystem by providing structured access to app functionality.
Google has released mobile apps for Gemini Enterprise, its AI service for business users announced last October. The update also brings @Google Chat integration directly into the Gemini app for Workspace subscribers.
Google has rolled out video templates in its Gemini app, enabling users to generate video content more quickly through pre-built starting points. This update follows the introduction of music generation capabilities the previous week.
Google is launching a free Gemini AI training program aimed at all 6 million U.S. educators. The move targets early adoption in the education sector before competitors establish similar programs.
Google has integrated a full AI Mode prompt box directly into Chrome's address bar, expanding its AI assistant capabilities in the desktop browser. This follows the company's January 2026 Gemini integration update for Chrome's side panel.
Google has restructured its AI subscription offerings into two main tiers: Google AI Pro (formerly Gemini Advanced) and the higher-tier Google AI Ultra. The tiers provide different access levels to Gemini models and capabilities, with Ultra positioned as the premium option for advanced reasoning tasks.
Google's NotebookLM has received multiple updates including integration with Gemini 3.1 Pro and new prompt-based slide revision capabilities. The updates enable users to customize presentation slides through natural language prompts rather than manual editing.
Google's Gemini 3.1 Pro, an agentic coding model optimized for autonomous development workflows, is now available in public preview within GitHub Copilot. The model emphasizes efficient edit-then-test loops and tool use in early testing.
Google Deepmind has integrated its Lyria 3 model into Gemini, enabling users to generate 30-second music tracks with vocals, lyrics, and cover art from text prompts or uploaded media. The model represents an expansion of Google's multimodal AI capabilities into creative audio generation.
Google announced Gemini 3.1 Pro, positioning the model for complex problem-solving tasks requiring deeper reasoning than previous versions. The release follows Gemini 3 Pro (November 2025) and Gemini 3 Flash (December 2025).
Google is rolling out Lyria 3, its music generation model, to all Gemini app users. The expansion follows recent releases of audio overviews, image generation, and video capabilities in the Gemini ecosystem.
Google has integrated Lyria 3, its music generation model, directly into the Gemini app. Users can now create custom 30-second music tracks from text descriptions and images without additional tools or subscriptions.