{"id":118375,"date":"2024-11-08T13:21:10","date_gmt":"2024-11-08T18:21:10","guid":{"rendered":"https:\/\/www.simonsfoundation.org\/?page_id=118375"},"modified":"2026-03-23T14:53:40","modified_gmt":"2026-03-23T18:53:40","slug":"foundation-models-of-science","status":"publish","type":"page","link":"https:\/\/www.simonsfoundation.org\/foundation-models-of-science\/","title":{"rendered":"Foundation Models of Science"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/flatiron_group_landing.php","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"class_list":["post-118375","page","type-page","status-publish","hentry"],"acf":{"block_editor":[{"acf_fc_layout":"copy_image","type_of_media":"image","layout":"Image Left","is_featured_media":false,"title":"","image":118386,"video_url":null,"image_width":"","copy_title":"","copy":"<p style=\"font-size: 150%; line-height: 140%;\">Our goal is to accelerate the development of versatile foundation models tailored for numerical datasets and scientific machine learning tasks. The challenge we are undertaking is to build AI models which leverage information from heterogeneous datasets and across different scientific fields, which, contrary to domains like natural language processing, do not share a unifying representation.<\/p> \r\n\r\nSuch models can then be used as strong baselines or be further fine-tuned by scientists for specific applications. This approach has the potential to democratize AI in science by providing off-the-shelf models that have stronger priors for shared general concepts such as causality, measurement, signal processing, and even more specialized shared concepts like wave-like behavior, which otherwise would need to be learned from scratch.","show_copy_link":false,"copy_link_text":"More","copy_link_url":"","border_top":false,"border_bottom":false,"show_archive_link":false,"archive_link_url":"","archive_link_text":"Show More"},{"acf_fc_layout":"three_column_text","title":"Group Members","smaller_title":false,"alt_display":false,"column_number":"Four","introduction":"","column":[{"title":"Alberto Bietti","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Mathematics","link":""},{"title":"Kyunghyun Cho","has_image":false,"image":null,"copy":"New York University","link":""},{"title":"Miles Cranmer","has_image":false,"image":null,"copy":"Data Intensive Science \r\nUniversity of Cambridge","link":""},{"title":"Michael Eickenberg","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Mathematics","link":""},{"title":"Shirley Ho","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCosmology & Machine Learning ","link":""},{"title":"Keiya Hirashima","has_image":false,"image":null,"copy":"University of Tokyo","link":""},{"title":"Tom Hehir","has_image":false,"image":null,"copy":"Institute of Astronomy\r\nUniversity of Cambridge","link":""},{"title":"Siavash Golkar","has_image":false,"image":null,"copy":"New York University","link":""},{"title":"Geraud Krawezik","has_image":false,"image":null,"copy":"Flatiron Institute\r\nScientific Computing Core\r\n","link":""},{"title":"Francois Lanusse","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Astrophysics","link":""},{"title":"Nick Lourie","has_image":false,"image":null,"copy":"New York University","link":""},{"title":"Michael McCabe","has_image":false,"image":null,"copy":"University of Colorado","link":""},{"title":"Ruben Ohana","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Mathematics","link":""},{"title":"Payel Mukhopadhyay","has_image":false,"image":null,"copy":"University of California, Berkeley","link":""},{"title":"Rudy Morel","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Mathematics ","link":""},{"title":"Lucas Meyer","has_image":false,"image":null,"copy":"Polymathic AI","link":""},{"title":"Liam Parker","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Astrophysics","link":""},{"title":"Mariel Pettee","has_image":false,"image":null,"copy":"Lawrence Berkeley National Laboratory ","link":""},{"title":"Bruno Regaldo","has_image":false,"image":null,"copy":"Flatiron Institute\r\nCenter for Computational Mathematics","link":""}]}]},"_links":{"self":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/118375"}],"collection":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/comments?post=118375"}],"version-history":[{"count":12,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/118375\/revisions"}],"predecessor-version":[{"id":121870,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/118375\/revisions\/121870"}],"wp:attachment":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/media?parent=118375"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}