Center for Brains, Minds and Machines

[news] Tomaso Poggio autobiography, produced by NotebookLM https://lnkd.in/e_yx5eXz

[video] "Conveying Tasks to Computers: How Machine Learning Can Help" Michael Littman, Brown University Abstract: It is immensely empowering to delegate information processing work to machines and have them carry out difficult tasks on our behalf. But programming computers is hard. The traditional approach to this problem is to try to fix people: They should work harder to learn to code. In this talk, I argue that a promising alternative is to meet people partway. Specifically, powerful new approaches to machine learning provide ways to infer intent from disparate signals and could help make it easier for everyone to get computational help with their vexing problems. Bio: Michael L. Littman, Ph.D. is a Professor of Computer Science at Brown University and Division Director of Information and Intelligent Systems at the National Science Foundation. He studies machine learning and decision-making under uncertainty and has earned multiple awards for his teaching and research. Littman has chaired major conferences in A.I. and machine learning and is a Fellow of both the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery. He was selected by the American Association for the Advancement of Science as a Leadership Fellow for Public Engagement with Science in Artificial Intelligence, has a popular YouTube channel and appeared in a national TV commercial in 2016. His book, "Code to Joy: Why Everyone Should Learn a Little Programming" was published in October 2023 by MIT Press. https://lnkd.in/eFacekmR

[announcement] In collaboration with colleagues from Google DeepMind, MIT, UC Berkeley, and UCL, the Cooperative AI Foundation is excited to present the Concordia Contest as part of NeurIPS 2024. This contest challenges participants to advance the cooperative intelligence of language model (LM) agents in intricate, text-based environments, based on the recently proposed Concordia framework. https://lnkd.in/eGyhWNgz

[news, awards] King Harald showed off eight international award winners including CBMM's Kanwisher and Freiwald [Khrono] https://lnkd.in/eUCvuKzj

[news] A README for open neuroscience - Making data (and code) useful for yourself automatically makes it useful for others. By Sameul Gershman, Harvard University https://lnkd.in/eQXFyvUh

[News] "AI Rules in Two Popular MBL Courses" by David Chandler https://lnkd.in/dxw63vjT

#MITTeachMeSomething When was anesthesia first used? Francisco J. Flores, PhD Instructor in Anaesthesia - Massachusetts General Hospital and Harvard Medical School Researcher - Picower Institute for Learning and Memory, Center for Brains Minds and Machines, Massachusetts Institute of Technology Want to learn more? https://lnkd.in/dzngqyTy #MITTeachMeSomethingTuesday #MIT #TeachMeSomething #TeachMeSomethingTuesday #neuroscience #surgery #anesthesiology

#MITTeachMeSomething How many layers does the cerebral cortex have? Diego Mendoza-Halliday, Research Scientist, McGovern Institute for Brain Research, MIT Want to learn more? https://lnkd.in/eD4aMMpj #MITTeachMeSomethingTuesday #MIT #TeachMeSomething #TeachMeSomethingTuesday #neuroscience #cortex #cerebralcortex #brain #layers

#MITTeachMeSomething How can we study signals from the human brain? Dimitrios Pantazis, Principal Research Scientist, MIT McGovern Center for Brain Research Want to learn more? https://lnkd.in/dJWQ-Tgc #MITTeachMeSomethingTuesday #MIT #TeachMeSomething #TeachMeSomethingTuesday #neuroscience #MEG #Magnetoencephalography #magnets #brain #signals

#MITTeachMeSomething How can looking at a heart's electrical signals save lives? Taylor Baum, PhD Candidate, Electrical Engineering and Computer Science, MIT Want to learn more? https://lnkd.in/eUTdpKVu #MIT #TeachMeSomething #TeachMeSomethingTuesday #neuroscience #surgery #heart #electricalsignals #arrhythmia #ablation