News
News
Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context
Google has released T5Gemma 2, a family of open encoder-decoder Transformer checkpoints built by adapting...
Google Introduces Open-Source Full-Stack AI Agent Stack Using Gemini 2.5 and LangGraph for Multi-Step Web Search, Reflection, and Synthesis
Introduction: The Need for Dynamic AI Research Assistants Conversational AI has rapidly evolved beyond basic...
Google Introduces Jetpack Compose Glimmer: A New Spatial UI Framework Designed Specifically for the Next Generation of AI Glasses
Google is moving beyond the rectangular screen. For over 10 years, Google designers have explored...
Google I/O showed how the path for AI-driven science is shifting
During Tuesday’s Google I/O keynote, Demis Hassabis, the CEO of Google DeepMind, proclaimed that we...
Google finally launches NotebookLM mobile app at I/O: hands-on, first impressions
As NotebookLM matures, its emerging business-tier capabilities suggest growing alignment with the productivity and compliance…Read...
Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts
Designing algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information games — scenarios where players act...
Google DeepMind Unveils AlphaGenome: A Unified Sequence-to-Function Model Using Hybrid Transformers and U-Nets to Decode the Human Genome
Google DeepMind is expanding its biological toolkit beyond the world of protein folding. After the...
Google DeepMind Ships Three Physical AI Models For Whole Body Control, Dexterity And Multi Robot Collaboration
Google DeepMind has released Gemini Robotics 2, the intelligence layer for its next generation of...
Google DeepMind Researchers Apply Semantic Evolution to Create Non Intuitive VAD-CFR and SHOR-PSRO Variants for Superior Algorithmic Convergence
In the competitive arena of Multi-Agent Reinforcement Learning (MARL), progress has long been bottlenecked by...
Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and a New Mobile Format Cut On-Device Memory
Google DeepMind released Quantization-Aware Training (QAT) checkpoints for the Gemma 4 family. The release targets...
Google DeepMind Releases Gemma 3n: A Compact, High-Efficiency Multimodal AI Model for Real-Time On-Device Use
Researchers are reimagining how models operate as demand skyrockets for faster, smarter, and more private...
Google DeepMind Releases Gemini Robotics-ER 1.6: Bringing Enhanced Embodied Reasoning and Instrument Reading to Physical AI
Google DeepMind research team introduced Gemini Robotics-ER 1.6, a significant upgrade to its embodied reasoning...




