Tag: artificial intelligence
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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 Read more
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Brains Minds and Machines Summer Course 2025
August 3, 2025 — august 24, 2025 Apply now to join the BMM Summer School The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the scientific understanding of intelligence and the development of true biologically inspired AI. 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 models of vision
Jan 8, 2025 Evaluating how brains generalize: data from macaque monkeys reveals flaws in deep neural networks Anne Manning, Harvard John A. Paulson School of Engineering and Applied Sciences, reports on the work of Spandan Madan, Will Xiao and colleagues presented recently in NeurIPS. This work sheds light on the key Achilles heel of current… 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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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
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Harvard. The interneuron, July 2024
july 2, 2024 AI agents help worms find food by integrating with their nervous system Harvard’s The Interneuron highlights the work of Chenguang Li describing a hybrid between biological and artificial neural networks. Li and colleagues showed how to enhance behavior in the C. elegans worm by elegantly combining optogenetics, computer vision, and reinforcement learning.… Read more
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Chenguang Li on connecting artificial and biological neural networks
06/14/2024 Discovering neural policies to drive behavior by integrating deep reinforcement learning agents with biological neural networks Chenguang Li’s work on created a hybrid between biological and artificial neural networks was publishedi n Nature Machine Intelligence. Read more
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When and how CNNs generalize
02/22/2022 When and how CNNs generalize to out-of-distribution category-viewpoint combinations Spandan Madan and Xavier Boix discuss their latest research recently published in Nature Machine Intelligence. Reach out to us now to explore your unique training requirements and uncover our potential to assist you. Read more