#Google AI

'Google releases Gemini 3, claiming major gains in reasoning and a new Antigravity coding UI that aims to support full multi step development workflows.'

'Gemini 3 introduces generative interfaces that let the model assemble visual, interactive responses and adds Gemini Agent to manage multi-step tasks across Google services.'

'Nano Banana 2, reportedly running GemPix 2, could produce native 2K and upscaled 4K AI images on-device in seconds, signaling a shift toward studio-level mobile creativity with privacy and ethical trade-offs.'

'DS STAR is a multi-agent Data Science Agent from Google that turns heterogeneous files into executable Python via iterative planning, coding and verification, significantly boosting benchmark accuracy.'

Google released Speech-to-Retrieval (S2R), a production voice search approach that maps audio directly to embeddings for retrieval and bypasses text transcription, improving retrieval quality across languages.

'Google's Gemini 2.5 Computer Use preview lets AI agents plan and execute 13 predefined UI actions in a live browser via a constrained API, aimed at web automation and UI testing.'

'Google's new Data Commons MCP Server lets AI agents query and generate reports from public statistics via natural language, with quickstarts for Gemini CLI and ADK.'

Google AI and DeepMind released VaultGemma 1B, the largest open-weight LLM trained end-to-end with differential privacy, showing that strong privacy guarantees can be combined with practical model performance

'Google's Personal Health Agent is a multi-agent framework that coordinates specialized sub-agents for data analysis, clinical reasoning and behavioral coaching to produce integrated, personalized health guidance.'

'Google released EmbeddingGemma, a 308M-parameter on-device embedding model that tops MTEB scores for models under 500M and delivers low-latency multilingual retrieval suitable for offline RAG.'

'Google's Nano Banana outpaced ChatGPT in tests, delivering much faster image edits and more natural results while raising concerns about misuse and safety.'

'Google AI launched Stax, an experimental toolkit that helps developers evaluate and compare large language models using custom and pre-built autoraters and dataset-level analytics.'

'Sundar Pichai's three banana emojis announced Gemini 2.5 Flash Image — aka Nano Banana — an AI that keeps subjects recognizable across dramatic edits and is available via Gemini app and developer tools.'

Gemma 3 270M is a compact, 270M-parameter model by Google AI designed for energy-efficient, task-specific fine-tuning and on-device deployment with INT4 QAT support

'A curated 2025 list of the top 10 websites and communities to follow for news, research, and practical guidance on agentic AI and AI agents.'

Google AI and UC Santa Cruz Genomics Institute released DeepPolisher, a deep learning tool that substantially reduces errors in genome assemblies, improving the accuracy of human genome references.

Google AI introduces LangExtract, a powerful open-source Python library that extracts structured and traceable data from unstructured text using LLMs like Gemini.

Google introduces TTD-DR, an innovative AI framework that mimics human research processes through iterative draft refinement, achieving top performance in complex research benchmarks.

Google Cloud launches Vertex AI Memory Bank to enable AI agents with persistent memory, enhancing personalization and continuity across conversations.

Google has open-sourced MedGemma 27B Multimodal and MedSigLIP, cutting-edge models designed for scalable multimodal medical reasoning and efficient healthcare AI applications.

Google has released the open-source MCP Toolbox for Databases to simplify and secure how AI agents interact with SQL databases, enabling efficient, scalable, and safe querying with minimal configuration.

Google's Gemini CLI offers developers an AI-powered command-line tool to streamline working with large codebases, automate workflows, and generate apps from visual inputs.

Google introduces Gemma 3n, a compact multimodal AI model designed for efficient edge deployment, enabling real-time processing across text, images, audio, and video on mobile and smart devices.

Google launches Gemini CLI, an open-source command-line AI agent integrating Gemini 2.5 Pro, enabling developers to use natural language commands for coding and automation directly in the terminal.

Google introduces a hybrid AI-physics model that dramatically improves the accuracy and efficiency of local climate risk forecasts at city-scale resolutions, reducing computational costs by up to 85%.

Google AI and University of Cambridge introduce MASS, a novel framework that optimizes multi-agent systems by jointly refining prompts and topologies, achieving superior performance across multiple AI benchmarks.

Google’s 2025 I/O conference revealed its dominance in AI with Gemini 2.5 deeply integrated across its ecosystem, outpacing Apple and OpenAI in delivering a personalized, proactive assistant.

Google introduces MedGemma, a new open suite of AI models designed for comprehensive medical text and image understanding, available for developers via Hugging Face and Google Cloud.

Google releases the NotebookLM mobile app featuring offline audio summaries, easy source sharing, and interactive AI conversations to enhance on-the-go research and learning.

Google researchers introduce LightLab, a novel diffusion-based AI technique that enables fine-grained, physically plausible control of lighting in single images, outperforming existing methods.

Google's enhanced AMIE AI system now matches or outperforms primary care physicians by using advanced multimodal reasoning powered by Gemini 2.0 Flash, significantly improving telemedicine diagnostics.

Gemini Robotics combines cutting-edge AI reasoning with physical world interaction, enabling robots to perform complex tasks with precision and adaptability.

Alibaba launches Qwen3, an innovative open-source AI series blending fast and deliberate reasoning, challenging ChatGPT and Google’s AI supremacy.

Google’s AI-driven DolphinGemma model is revolutionizing the study of dolphin communication by analyzing complex vocal patterns and enabling real-time interaction, with plans for open-source release in 2025.