Tag: AI
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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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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
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Congratulations to Narek Alvandian!
08/27/2024 Testing the alignment of multimodal neural networks to human brain areas Congratulations to Narek Alvandian on successfully defending his Master’s thesis! Read more
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Congratulations to BMM 2024 students!
08/25/2024 An impressive new cadre of scholars Congratulations to all the students who participated in the Brains, Minds and Machines 2024 summer course in Woodshole, MA. Students pursued exciting projects from asking about the relationship between polynomial and non-polynomial problems to investigating adversarial attacks in AI algorithms to comparing neural networks to neurophysiological recordings. Read more
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Kranium Poster Session 2024
August 8, 2024 First generation of Kranium scholars present their work The Kempner Institute at Harvard sponsored the first group of undergraduate researchers through their Kranium program. Come and see their posters discussing their work. Alliyah Steele from the Kreiman lab presents her work on studying the representation of language in brains and machines. Read more