{"ok":true,"trend":{"id":1151634,"platform":"news","region":"global","key":"neural networks taught to respect physics even without equations","title":"Neural Networks Taught to Respect Physics Even Without Equations","url":"https://news.google.com/rss/articles/CBMikwFBVV95cUxQN0JIY216RkFNMUdJVF84cHBRWDZtYzFSX2U2VGx2Y3pwcFBLUUJWVXROZ29hcUlFT1h0RHI4TUFGYkdSN0JZX0ZzY2Zyc0paWHM4RGk1c0RCNmNhd1hlTy1SckJ6cldWbS1WemQ5WFBZRGdyU21WUUJhMnliT2N1VGhXd2lHamZVRzVST0RFZ0VMYXc?oc=5","first_seen":"2026-10-05T20:33:17.423099Z","last_seen":"2026-10-06T08:53:39.587682Z","last_rank":36,"peak_rank":18,"last_volume":null,"peak_volume":0,"seen_count":10,"score":0.9890625,"category_hint":"physics","section":"science","category":"physics","summary":"New research reports that neural networks can be trained to follow the laws of physics even when no explicit equations are provided, learning physical constraints directly from data. The approach could make AI models more reliable in scientific and engineering applications, and is drawing attention for bridging machine learning and physics-based modelling.","why":"Interest in making AI models physically consistent is growing across science and engineering","tone":"neutral","entities":["neural networks","physics-informed machine learning"],"summarized_at":"2026-10-06T08:41:16.945653Z","meta":{"via":"scan","lang":"en","term":"physics","source":"Bioengineer.org","published":"Mon, 05 Oct 2026 23:17:46 GMT"},"nw":null,"promo":null,"kind":null,"importance":null,"hidden":false,"hide_reason":null,"judged_at":null,"title_en":"Neural Networks Taught to Respect Physics Without Equations","section_name":"Science","category_name":"Physics","timeline":[{"captured_at":"2026-10-05T20:33:17.423099Z","rank":20,"volume":null},{"captured_at":"2026-10-05T21:55:38.837674Z","rank":18,"volume":null},{"captured_at":"2026-10-05T23:17:37.414792Z","rank":23,"volume":null},{"captured_at":"2026-10-06T00:39:38.036457Z","rank":26,"volume":null},{"captured_at":"2026-10-06T02:02:18.997465Z","rank":27,"volume":null},{"captured_at":"2026-10-06T03:24:18.847192Z","rank":27,"volume":null},{"captured_at":"2026-10-06T04:47:18.215805Z","rank":27,"volume":null},{"captured_at":"2026-10-06T06:09:19.851748Z","rank":31,"volume":null},{"captured_at":"2026-10-06T07:31:38.790734Z","rank":32,"volume":null},{"captured_at":"2026-10-06T08:53:39.587682Z","rank":36,"volume":null}],"posts":[{"platform":"news","url":"https://news.google.com/rss/articles/CBMikwFBVV95cUxQN0JIY216RkFNMUdJVF84cHBRWDZtYzFSX2U2VGx2Y3pwcFBLUUJWVXROZ29hcUlFT1h0RHI4TUFGYkdSN0JZX0ZzY2Zyc0paWHM4RGk1c0RCNmNhd1hlTy1SckJ6cldWbS1WemQ5WFBZRGdyU21WUUJhMnliT2N1VGhXd2lHamZVRzVST0RFZ0VMYXc?oc=5","author":"Bioengineer.org","title":"Neural Networks Taught to Respect Physics Even Without Equations","snippet":null,"posted_at":"2026-10-05T19:20:21Z","likes":null}],"elsewhere":[],"window":"7d"}}