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Datasette 1.0a39 and 0.65.4 security releases44m ago Anthropic caught scientists using Claude to further biological weapon research1h ago Oracle says AI will save it from the SaaSpocalypse, not bring it on1h ago Congress Is Suddenly Waking Up to the AI Doomsday Threat2h ago Don’t ask ChatGPT 'What should I do?' — this simple prompt helps you make better decisions yourself2h ago Extreme Networks’ Agent ONE Coworker moves AI networking from dashboards to answers2h ago Introducing ChatGPT for Financial Services2h ago Tesla unveils driverless Cybercab in Japan for 1st time3h ago The AI safety vibe shift3h ago Sam Altman met with top power utilities about securing the electrical grid. He offered one possible solution: OpenAI's cyber services.3h ago OpenAI Is Open to Slowing Cutting-Edge AI, CEO Sam Altman Tells Staff3h ago Tencent-Backed Chipmaker Enflame Jumps 188% in Shanghai Debut4h ago Salesforce introduces Enterprise AI Harness, AI Control Plane4h ago The Race for the Next Big Weight-Loss Drug Is On—and China Wants In4h ago

Machine Learning AI Research3 min reading time

Explainable data generation from observed small samples by matrix tri-factorization

NaturePublished 2 days ago

Researchers from multiple Chinese institutions developed a matrix tri-factorization method for explainable data generation from small observed samples, supported by various national and regional science foundations.

#data-generation #luonan-chen #matrix-factorization #national-natural-science-foundation-of-china

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