Google Research
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2 weeks ago
Google Research released building-level rooftop reflectivity data covering 50+ global cities through a new Heat Resilience Earth Engine App to help urban planners implement cool-roof solutions for mitigating extreme heat. The dataset achieves 30-centimeter spatial resolution by fusing Sentinel-2 satellite data with high-resolution commercial imagery using machine learning, validated against ground measurements with a root mean square error of 0.04. Cities can now prioritize individual buildings for cool-roof retrofits, with targeted interventions potentially reducing extreme urban heat by up to 0.5°C globally.
Google DeepMind
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2 weeks ago
Google released Nano Banana 2 Lite, an image generation model, and made Gemini Omni Flash available to developers for video generation and editing. Nano Banana 2 Lite generates images in 4 seconds at a cost of $0.034 per 1,000 images, while Gemini Omni Flash costs $0.10 per second of video output. Developers can now chain both models together to rapidly generate images and convert them into animated videos within a single workflow.
Google Research
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2 weeks ago
Google introduced TabFM, a foundation model that applies zero-shot in-context learning to tabular data classification and regression tasks, eliminating the need for manual hyperparameter tuning and feature engineering. The model was trained on hundreds of millions of synthetically generated datasets and evaluated on TabArena spanning 51 datasets with up to 150,000 samples, consistently outperforming tree-based algorithms like XGBoost. TabFM will be integrated into Google BigQuery as an AI.PREDICT SQL command, allowing users to generate predictions on new tables in a single forward pass without machine learning expertise.
