{ "138123-21882375": { "datetime_modified":"20250924T123258", "datetime_start":"20250909T153000", "datetime_end":"20250909T163000", "has_end_time":1, "date_start":"2025-09-09", "date_end":"2025-09-09", "time_start":"15:30:00", "time_end":"16:30:00", "time_zone":"America\/Detroit", "event_title":"Evergy Internship Info Session", "occurrence_title":"", "combined_title":"Evergy Internship Info Session", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"Want to know what it's like to be an intern at Evergy?Join us for a virtual information session to learn about our company and intern program - then\u00a0hear from a panel of Evergy employees.\u00a0If you're curious about interning with Evergy or want to learn moreabout\u00a0the energy industry, this is\u00a0your\u00a0opportunity to\u00a0ask candid questions!Choose the session you'd like to attend to reserve your spot! All sessions will be hosted live on Microsoft Teams.", "occurrence_notes":null, "guid":"138123-21882375@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/138123", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21882375 } , "135252-21876548": { "datetime_modified":"20250829T131703", "datetime_start":"20250909T160000", "datetime_end":"20250909T170000", "has_end_time":1, "date_start":"2025-09-09", "date_end":"2025-09-09", "time_start":"16:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"2025 Ziwet Lectures", "occurrence_title":"", "combined_title":"2025 Ziwet Lectures: Lior Horesh", "event_subtitle":"Lior Horesh", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Tuesday, September 9, 4 pm, East Hall 1324: Science 2.0 - Evolving the Scientific Method in the Age of AI\r\nThere will be a reception after the Tuesday Colloquium in the Math Upper Atrium.\r\n\r\nWednesday, September 10, 4 pm, East Hall 1360: Matrix-Mimetic Tensor Algebra: Optimal Decompositions and Equivariant Learning\r\n\r\nThursday, September 11, 4 pm, East Hall 4448: From Big Data to Right Data: Information-Theoretic Optimal Experimental Design\r\n\r\n\r\nTuesday, September 9, 4 pm, East Hall 1324: Science 2.0 - Evolving the Scientific Method in the Age of AI\r\nThis lecture addresses the historical trade-off between interpretable but expertise-dependent deductive models and scalable but non-interpretable data-driven approaches by introducing hybrid AI frameworks that transcend this divide. We present AI-Descartes (generator-verifier paradigm), AI-Hilbert (unified hypothesis generation and testing), and AI-Noether (algebraic-geometric theory revision via abductive reasoning) as transformative approaches to mathematical model discovery. These frameworks advocate for conceptual evolution of the scientific method toward deeper AI integration in pursuing both interpretable and universal models.\r\n\r\nWednesday, September 10, 4 pm, East Hall 1360: Matrix-Mimetic Tensor Algebra: Optimal Decompositions and Equivariant Learning\r\nThis lecture introduces a novel tensor-tensor algebra that preserves essential matrix-algebraic properties while overcoming limitations of conventional tensorial frameworks, culminating in an Eckart-Young-like theorem that resolves a decades-long open problem in tensor analysis. We demonstrate how this framework enables seamless retrofitting of existing computational workflows (Hamiltonian neural networks, tensor Graph Convolutional Networks) and extends to tensor group symmetry theory for equivariant learning applications. This work opens pathways to new tensorial algebras that can reveal deeper patterns in high-dimensional information previously inaccessible to traditional methods.\r\n\r\nThursday, September 11, 4 pm, East Hall 4448: From Big Data to Right Data: Information-Theoretic Optimal Experimental Design\r\nThis lecture addresses the modern paradox where unprecedented data accumulation capabilities make selective identification of informative samples more critical than ever for meaningful model development. We review theoretical foundations of experimental design within inverse problems frameworks, examining strategies for well-posed and ill-posed settings while establishing approaches for design preferences, budget allocation, and risk assessment. Through information-theoretic principles, we demonstrate how optimal experimental design creates a paradigm shift from data volume to information content, with transformative implications for resource-constrained scientific methodology.\r\n\r\nDr. Lior Horesh is a Principal Research Scientist, Master Inventor and a Senior Manager of the \u200eMathematics & Theoretical Computer Science (formerly Mathematics of AI) department at IBM Research. His department\u2019s mission is to approach some of the big \u200echallenges the field of AI is facing, from a principled mathematical angle. Additionally, Dr. Horesh \u200eholds an adjunct Associate Professor position at the Computer Science department of Columbia \u200eUniversity where he teaches graduate level Advanced Machine Learning and Quantum Computing \u200ecourses. Dr. Horesh Received his Ph.D. in 2006 from UCL and joined IBM in 2009.\r\n\r\nThe Ziwet Lectures were established in 1934 through a bequest from Professor Ziwet, Chair of the UM Department of Mathematics from 1888-1925. He stipulated that his estate \u201cshould be used for the promotion of scientific work.\u201d The Ziwet lectures have been one of the most prestigious lecture series in the department.", "occurrence_notes":"Science 2.0 - Evolving the Scientific Method in the Age of AI", "guid":"135252-21876548@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/135252", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"1324", "location_name":"East Hall", "has_livestream":0, "cost":"", "tags":["Electrical And Computer Engineering","Generative Ai","Data Science","data","Artificial Intelligence","Undergraduate Students","symposium","Mathematics","Lecture","Graduate Students","Free","Faculty","Electrical Engineering and Computer Science"], "website":"https:\/\/research.ibm.com\/people\/lior-horesh", "sponsors":[ { "group_name":"Special Events - Department of Mathematics", "group_id":"4912", "website":"" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" }, { "group_name":"Colloquium Series - Department of Mathematics", "group_id":"4884", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/08\/event_135252_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/08\/event_135252_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/08\/event_135252_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/08\/event_135252_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/08\/event_135252_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/08\/event_135252_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/08\/event_135252_original-1.png" }, "occurrence_count":3, "first_occurrence":21876548 } }