Tag: AI
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Harvard Kempner Institute: Spring Into Science
march 26, 2025 Annual retreat, Kempner Institute for the study of Natural and Artificial Intelligence The proceedings included a panel discussion entitled “How will cognitive science or neuroscience contribute to modern AI?” featuring (left to right) Talia Konkle, a Kempner associate faculty member, SueYeon Chung, an incoming institute investigator, and Gabriel Kreiman, a Kempner affiliate faculty… Read more
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Cognitive Neuroscience Annual Meeting 2025
march 31, 2025 Nature and nurture revisited: new insights about core knowledge and visual development across cognitive systems Chaisr: Gabriel Kreiman and Elisabetta Versace The combinatorial advantage of predispositions. Elisabetta Versace. Through a glass, darkly: approximations, hacks and workarounds in intuitive physics and imagination. Tomer Ullman. The efficient coding of visual textures in rats, chicks… Read more
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Congratulations to Trenton Bricken!
march 31, 2025 Sparse representations in artificial and biological neural networks Congratulations to Trenton Bricken for successfully defending his Ph.D. thesis! Read more
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BrainMind Science Collective 2025
march 21-23, 2025 BrainMind Science Collective Bay Area: Menlo Park and Mountain View On March 21–23, 2025, in the Bay Area, the BrainMind Science Collective series will united 150 scientists, innovators, and thought leaders working at the forefront of brain and mind sciences, alongside cross-disciplinary thinkers from AI, physics, and beyond. (1) One-minute pitch: helping… Read more
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The indoor training effect
feb 17, 2025 Scientists thought this would make AI worse but it made it smarter Note by Adam Zewe, MIT, about the work by Serena Bono and Spandan Madan in AAAI 2025 (see PDF here). SciTechDaily See more related work from the lab: Read more
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Using computational models to improve visual learning
jan 30, 2025 Morgan Talbot presenting at Vision Journal Club Morgan will be presenting the paper “L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection and Enhancement.” For a concise summary, please see the project website. The paper explores ways to enhance visual category learning in humans by applying adversarially trained ANNs as models of… Read more
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Generalization in ML: the indoor training effect
Jan 29, 2025 Is it better to train under noisy conditions to learn to generalize? New work by Serena Bono and Spandan Madan shed light on the mechanisms underlying generalization in reinforcement learning agents. This work led to discovering the indoor training effect whereby agents can improve their generalization performance under certain circumstances when trained… Read more
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Kreiman lab presentations at NeurIPS 2024
dec 10-15, 2024 Neural Information Processing Systems 2024 Several members of the Kreiman lab presented their cutting-edge research at NeurIPS 2024. Read more
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Successes and challenges in computational models of vision
26Nov2024 Professor Kreiman gives a lecture at NUS National University of Singapore 6:30pm We now have powerful computer vision algorithms that can segment scenes, label objects, and recognize actions. It is tempting to use these algorithms as models of visual processing in biological brains. I will provide an overview of some of the successes in using neural network models to partially describe visual… Read more
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AI Courses at MBL
september 5, 2024 AI rules in two popular MBL courses Note about the Brains, Minds and Machines summer course at MBL. Note by David Chandler Read more