research.
73 writings found
Page 2
WeatherNext Open Sources a Decade of Cyclone Forecasting Progress
Google DeepMind's WeatherNext AI model achieves state-of-the-art cyclone prediction with an extra day of accuracy. Now open source.
WeatherNext Open Sources Cyclone AI Model with One Day Lead Time Gain
Google DeepMind's WeatherNext achieves breakthrough cyclone forecasting accuracy. Now open source, it delivers a decade of meteorological progress in predictive capability.
WeatherNext Open Sources a Decade of Forecasting Progress
Google DeepMind's cyclone prediction AI achieves state-of-the-art accuracy with an extra day of warning. Now open source.
Transferring CUDA Expertise to Apple Silicon With AI-Driven Kernel Search
How K-Search uses AI and structured translation to automatically port GPU kernel optimizations from CUDA to MLX, reaching near-expert performance without manual rewrites.
Transferring GPU Expertise Across Hardware with AI
How evolutionary kernel search bridges CUDA optimization knowledge to Apple Silicon, eliminating the need to rediscover decades of GPU tuning for each new architecture.
WeatherNext Open Source: AI Forecasting Reaches a Tipping Point
Google DeepMind's cyclone prediction model achieves decade-level accuracy improvements. Now open source, it reshapes how we approach AI for critical infrastructure.
WeatherNext Open Sources a Decade of Meteorological Progress
Google DeepMind's cyclone forecasting AI achieves state-of-the-art accuracy with an extra day of lead time. Now it's open source.
Science One Framework: AI Research That Actually Verifies Its Claims
Google researchers tackle AI hallucinations in autonomous science with Chain-of-Evidence framework. Zero phantom references, fully reproducible results.
Science One Framework: Making AI Research Actually Verifiable
Google researchers tackle AI hallucinations in autonomous research with Chain-of-Evidence framework and verifiable evidence chains that eliminate phantom citations.
Transferring GPU Expertise Across Hardware with AI
How K-Search and structured translation layers enable automatic kernel optimization across CUDA, MLX, and beyond without expert teams.
Science One Framework: Making AI Research Actually Verifiable
Google Cloud researchers introduce Chain-of-Evidence to eliminate hallucinations in AI-generated scientific papers. A critical shift toward trustworthy autonomous research systems.
Transferring GPU Expertise Across Hardware: K-Search Brings CUDA Knowledge to Apple Silicon
How evolutionary search and structured translation layers let AI automatically port decades of CUDA kernel optimizations to Apple Silicon, reaching near-expert performance without manual rewrites.
Gemini Robotics ER 2: The High-Level Brain Robots Actually Need
Google's new embodied reasoning model enables real-time spatial reasoning, multi-step task planning, and multi-robot collaboration. What this means for physical AI development.
Google DeepMind commits $40M to accelerate US scientific discovery with AI
Google invests in frontier AI for science, deploying tools across 17 DOE labs and achieving 8x speedups in autonomous materials research.
ABBEL: How LLMs Learn to Remember What Matters
ABBEL introduces belief states to fix the context summarization bottleneck in long-horizon AI tasks. Here's why this matters for coding assistants and beyond.