We will discuss about “AI Feynman: A physics-inspired method for symbolic regression”,Science Advances 6.16 (2020): eaay2631.<\/p>\n
Abstract<\/p>\n
A core challenge for both physics and artificial intelligence (AI) is symbolic regression: finding a symbolic expression that matches data from an unknown function. Although this problem is likely to be NP-hard in principle, functions of practical interest often exhibit symmetries, separability, compositionality, and other simplifying properties. In this spirit, we develop a recursive multidimensional symbolic regression algorithm that combines neural network fitting with a suite of physics-inspired techniques. We apply it to 100 equations from the Feynman Lectures on Physics, and it discovers all of them, while previous publicly available software cracks only 71; for a more difficult physics-based test set, we improve the state-of-the-art success rate from 15 to 90%.<\/p>","excerpt":"","slug":"2024-01-12-jc","image":false,"all_day":false,"start_date":"2024-01-12 14:00:00","start_date_details":{"year":"2024","month":"01","day":"12","hour":"14","minutes":"00","seconds":"00"},"end_date":"2024-01-12 16:00:00","end_date_details":{"year":"2024","month":"01","day":"12","hour":"16","minutes":"00","seconds":"00"},"utc_start_date":"2024-01-12 05:00:00","utc_start_date_details":{"year":"2024","month":"01","day":"12","hour":"05","minutes":"00","seconds":"00"},"utc_end_date":"2024-01-12 07:00:00","utc_end_date_details":{"year":"2024","month":"01","day":"12","hour":"07","minutes":"00","seconds":"00"},"timezone":"Asia\/Seoul","timezone_abbr":"KST","cost":"","cost_details":{"currency_symbol":"","currency_code":"","currency_position":"prefix","values":[]},"website":"","show_map":true,"show_map_link":true,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Journal Club","slug":"journal-club","term_group":0,"term_taxonomy_id":219,"taxonomy":"tribe_events_cat","description":"","parent":231,"count":207,"filter":"raw","id":219,"urls":{"self":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories\/219","collection":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories","up":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories\/231"}}],"tags":[],"venue":{"id":7007,"author":"3","status":"publish","date":"2022-12-11 21:14:12","date_utc":"2022-12-11 12:14:12","modified":"2022-12-11 21:14:12","modified_utc":"2022-12-11 12:14:12","url":"https:\/\/www.ibs.re.kr\/bimag\/venue\/b232-seminar-room-ibs\/","venue":"B232 Seminar Room, IBS","slug":"b232-seminar-room-ibs","address":"55 Expo-ro Yuseong-gu","city":"Daejeon","country":"Korea, Republic of","province":"Daejeon","zip":"34126","website":"https:\/\/www.ibs.re.kr","stateprovince":"Daejeon","json_ld":{"@type":"Place","name":"B232 Seminar Room, IBS","description":"","url":"","address":{"@type":"PostalAddress","streetAddress":"55 Expo-ro Yuseong-gu","addressLocality":"Daejeon","addressRegion":"Daejeon","postalCode":"34126","addressCountry":"Korea, Republic of"},"telephone":"","sameAs":"https:\/\/www.ibs.re.kr"},"show_map":true,"show_map_link":true,"global_id":"www.ibs.re.kr\/bimag?id=7007","global_id_lineage":["www.ibs.re.kr\/bimag?id=7007"]},"organizer":[{"id":3971,"author":"3","status":"publish","date":"2021-02-23 18:10:12","date_utc":"2021-02-23 09:10:12","modified":"2021-02-23 18:10:12","modified_utc":"2021-02-23 09:10:12","url":"https:\/\/www.ibs.re.kr\/bimag\/organizer\/jae-kyoung-kim\/","organizer":"Jae Kyoung Kim","slug":"jae-kyoung-kim","email":"jaekkim@kaist.ac.kr","json_ld":{"@type":"Person","name":"Jae Kyoung Kim","description":"","url":"","telephone":"","email":"jaekkim@kaist.ac.kr","sameAs":""},"global_id":"www.ibs.re.kr\/bimag?id=3971","global_id_lineage":["www.ibs.re.kr\/bimag?id=3971"]}],"custom_fields":[],"json_ld":{"@context":"http:\/\/schema.org","@type":"Event","name":"Seokjoo Chae, AI Feynman: A physics-inspired method for symbolic regression","description":"<p>We will discuss about "AI Feynman: A physics-inspired method for symbolic regression",Science Advances 6.16 (2020): eaay2631. Abstract A core challenge for both physics and artificial intelligence (AI) is symbolic regression: … <\/p>\\n<p class="link-more"><a href="https:\/\/www.ibs.re.kr\/bimag\/event\/2024-01-12-jc\/" class="more-link">Continue reading<span class="screen-reader-text"> "Seokjoo Chae, AI Feynman: A physics-inspired method for symbolic regression"<\/span><\/a><\/p>\\n","url":"https:\/\/www.ibs.re.kr\/bimag\/event\/2024-01-12-jc\/","eventAttendanceMode":"https:\/\/schema.org\/OfflineEventAttendanceMode","eventStatus":"https:\/\/schema.org\/EventScheduled","startDate":"2024-01-12T14:00:00+09:00","endDate":"2024-01-12T16:00:00+09:00","location":{"@type":"Place","name":"B232 Seminar Room, IBS","description":"","url":"","address":{"@type":"PostalAddress","streetAddress":"55 Expo-ro Yuseong-gu","addressLocality":"Daejeon","addressRegion":"Daejeon","postalCode":"34126","addressCountry":"Korea, Republic of"},"telephone":"","sameAs":"https:\/\/www.ibs.re.kr"},"organizer":{"@type":"Person","name":"Jae Kyoung Kim","description":"","url":"","telephone":"","email":"jaekkim@kaist.ac.kr","sameAs":""},"performer":"Organization"}}