198 articles
Google Research launched MedGemma 1.5, delivering 14% better medical imaging performance and 22% improvement in EHR question answering, while MedASR cuts transcription errors by up to 82% compared to standard systems.
Google just rolled out MedGemma 1.5, bringing native 3D CT and MRI scan support to its open-source medical AI toolkit. This update unlocks powerful multimodal capabilities that healthcare developers can actually use in real-world clinical settings.
Apple analyst Ming-Chi Kuo reveals the company's AI struggles and explains why the tech giant turned to Google for help with its immediate AI challenges.
Google has unveiled the Universal Commerce Protocol (UCP), an open standard enabling AI agents, apps, and retailers to communicate seamlessly throughout the shopping process, with support from major platforms like Shopify, Etsy, Wayfair, Target, and Walmart.
Google introduced the Universal Commerce Protocol, an open standard that enables AI agents to manage the full shopping journey from discovery to post-purchase support, backed by over 20 major retail partners.
Google is bringing Gemini 3 deeper into Gmail with AI-powered summaries, smart search, writing help, and inbox sorting. The update pushes Gmail well beyond basic auto-replies into full contextual AI assistance.
Google's Stitch platform now supports Gemini 3 Flash, a faster AI model designed to speed up design iteration while maintaining quality. The Pro model remains available for tasks requiring deeper analytical thinking.
Google research revealed that AI models can be trained up to seven times faster using Switch Transformers compared to traditional architectures. The 2022 breakthrough is gaining renewed attention as the industry grapples with skyrocketing compute costs.
Google DeepMind launched the Gemini Interactions API in beta—a unified interface for Gemini models and AI agents—with plans to prioritize agent-focused features through 2026.
Analysis reveals Google owns every major layer of the AI supply chain—from custom chips to consumer apps—a vertical integration strategy that could deliver faster deployment and lower costs compared to competitors who rely on external partners.
Fresh data from Epoch AI reveals Google commanding U.S. frontier AI data-center capacity in mid-2025, with Amazon-backed Anthropic securing second place ahead of OpenAI in the infrastructure arms race.
Google's AI tool NotebookLM is getting solid feedback for its Mindmap feature, which users say makes learning and understanding complex topics much easier, including analyzing code structures.
StepFun has released Step-DeepResearch, a deep-research AI agent that scores 61.4% on the Scale AI Research Rubrics benchmark with a 32B model, positioning it near OpenAI and Alphabet's Gemini DeepResearch while emphasizing lower cost.
2025 marked a turning point for AI as systems from OpenAI and Alphabet (GOOGL) reached gold-medal performance in global math and coding competitions, while agent-based tools moved from labs into everyday use.
Tech giants Microsoft and Google have deployed procurement teams to Korea amid an escalating scramble for AI-grade memory chips. With Samsung and SK hynix controlling most of the world's high-bandwidth memory production, supply shortages have already forced Google to dismiss managers who failed to lock in long-term contracts.
Google unveiled FunctionGemma 270M, a compact AI model that runs entirely on smartphones and edge devices, converting everyday language into system commands while keeping data local for faster response times and enhanced privacy.
Google is being highlighted as the only company that controls every layer of the AI stack. A comparison chart shows Google spanning chips, cloud infrastructure, models, and applications—making it unique among major tech players in full vertical integration.
Google DeepMind just launched Gemma Scope 2, bringing interpretability tools to every layer of its Gemma 3 models—giving researchers unprecedented access to see how AI actually thinks.
Google has published a 46-page AI Agent Handbook outlining practical ways organizations can build and deploy AI agents. The guide focuses on real-world business use cases and is available for free through Google Cloud.
Google Research unveiled a new approach combining Titans architecture with MIRAS that lets AI models update their long-term memory during execution, potentially moving beyond traditional context window limitations.
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