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Josh Tenenbaum - Scaling Intelligence the Human Way - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Josh Bongard - Evolutionary computation - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Josh Tenenbaum - Cognitive and computational foundations for collective human intelligence Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Wojciech Samek - Concept-Level Explainable AI - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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MIT Quest for Intelligence Launch: Scaling AI the Human Way Channel : Massachusetts Institute of Technology (MIT) |
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Max Kleiman-Weiner - Reverse-Engineering Human Cooperation - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Josh Tenenbaum: Scaling AI the Human Way: Building Machines That Understand the World Channel : Santa Fe Institute |
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Update on the MIT Quest for Intelligence, Jim DiCarlo - Matter of Minds 2024 Channel : MIT Quest for Intelligence |
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Benjamin Stamm - Acceleration of quantum mechanical systems by exploiting similarity - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Andras Gilyen - Quantum algorithmic tools for simulating open quantum systems - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Josh Tenenbaum: Roadmap for conference "Advances in the quest to understand intelligence" Channel : MIT Quest for Intelligence |
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Dora Biro - Scaling up from individual to collective cognition - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Jarrod McClean - Dequantization and quantum advantage in learning from experiments - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Johnathan Hanke - Computer-Assisted Proofs in the Arithmetic of Quadratic Forms - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Kelsey Allen - Physical problem-solving across timescales - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Dan Yamins - Climbing the Ladder of Causation Toward Mid-Level Vision - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Stefan Chmiela - Machine learning basics: A speedrun - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Mihail Bogojeski - Message passing neural networks for atomistic systems: Molecules - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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