Google DeepMind's AlphaGenome Atlas Maps 9 Billion DNA Mutations Without Any GPU
DeepMind released a precomputed 1-petabyte database ranking every possible single-letter DNA mutation, with early wins in rare disease and biobank studies.
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Epoch Maps 44% of Global AI Compute Across 86 Data Centers
Epoch AI's data center explorer now maps 86 sites covering an estimated 44% of global AI compute, with satellite imagery and detailed hardware specs.
Tencent's EvolveScaler Exposes How AI Fails Tracking Changing Facts Over 1,200 Events
Tencent Hunyuan flips long-context data generation on its head: write the world as code first, then let it print the conversation.
Google's ToolGrad Builds AI Tool-Use Training Data Backward, Hitting 99.8% Yield
Google Research introduces ToolGrad, an answer-first framework that generates tool-use training data with a 99.8% pass rate at lower cost.
Google DeepMind's AlphaGenome Atlas Maps 9 Billion Human DNA Mutations Instantly
DeepMind precomputed AlphaGenome predictions for all 9 billion single-letter human DNA mutations, delivering a 1-petabyte searchable atlas with impact scores.
Cohere Labs' ATE Dataset Reveals Only 2.6% of AI Agent Tools Actually Work
Cohere Labs scraped 696K agent tools from 123K MCP servers and found only 2.6% can actually finish a real job task alone.
Google Research Maps 166,000 Neurons in a Fruit Fly Brain
Google Research and HHMI Janelia released a wiring diagram of 166,000 neurons and 125 million synapses spanning the male fruit fly brain and nerve cord.
Google's Planetary Prediction Engine Turns Weeks of Geospatial Work Into Minutes
Google Research unveils an autonomous AI system that turns natural-language questions about food security, disease, and climate risk into trained geospatial models in minutes.
Figure's Index App Pays 44,000 People to Train Its Humanoid Robots
Figure emerges from stealth with a crowdsourced data engine capturing 30 minutes of human video every second across 108 countries, backed by a $1B spend commitment.
Google's TimesFM 3.0 Forecasts Multiple Time Series at Once Without Retraining
Google Research drops a 330M-parameter foundation model that forecasts multiple related time series jointly, topping three zero-shot benchmarks but locked to non-commercial use.
Google Research's ME-POIs Beats Gemini Embeddings at Reading Real Places
Google Research unveils ME-POIs, a framework that fuses anonymized foot-traffic patterns with text embeddings to improve place understanding by up to 81.9%.
Google's Biomarker Discovery Framework Finds 66 Health Signals Wearables Always Missed
Google's new multi-agent system turns messy wearable sensor streams into statistically vetted biomarker candidates through adversarial validation and human review.
Microsoft Research's Skala 1.1 Beats Top Chemistry AI at Half the Cost
Microsoft Research updates its deep-learning DFT functional with 2.5x more training data, native CP2K integration, and a public performance benchmark.
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