Google launches Polar Peaks AI Quest on mapping the human brain
Students ages 11 to 14 practice data cleaning, model testing, and oversight; teacher training for this quest follows next month.
Students ages 11 to 14 practice data cleaning, model testing, and oversight; teacher training for this quest follows next month.
ForTy labels six land classes and adds a 2017–2025 series showing what replaced natural forest.
The only available text is a Hacker News listing with 43 points and nine comments.
Google Research's RRSI uses noise bands, cost rules, and leakage screens for safer self-improving AI agents.
Google moved Gboard federated learning into attested TEEs with externally verifiable differential privacy.
A coding guide demonstrates Google Research's Kauldron, a modular JAX trainer using plain-data configs and string wiring.
NVIDIA released Kumo Tabular, open tabular models that predict new rows in one forward pass.
Google Research unveiled four agentic frameworks that generate coherent minutes-long video on Gemini and Veo.
A tutorial implements sound encoders for Google Research's MSEB and scores them on four audio tasks.
Google Research's RRSI regularizes recursive agent-harness edits, lifting held-out scores while cutting policy tokens.
Google Research's RRSI regularizes recursive agent-harness evolution, lifting out-of-distribution scores while cutting policy tokens 30%.
Google Research introduced R4T, an RL-trained fan-out pipeline distilled into a 53.9M-parameter diffusion retriever achieving 12x-20x faster query fan-out.
Google Research released TimesFM-3, a 330M-parameter multivariate time series forecasting model that tops Gift-Eval, FEV-Bench, and Time benchmarks and is on Hugging Face.
Google DeepMind launches WeatherNext 3, an AI weather model delivering hourly 5-km forecasts from live satellite data, now integrated across Google products.
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