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Explore synaptic-resolution neural wiring diagrams with Simons Institute. Learn from Google's Viren Jain about connectomics, image alignment, and segmentation in 1-2 hours.
Explore the mechanisms and computational principles of cortical travelling waves with Terry Sejnowski from the Simons Institute. Expect 1-2 hours of neuroscience history, brain data discovery, and memory consolidation studies.
Explore reinforcement learning theories and new algorithms with Sean Meyn from the University of Florida, offered by Simons Institute. Expect a 1-2 hour workload.
Explore brain navigation, computational problems, and mathematical codes with this 1-2 hour lecture series from Simons Institute.
Explore the Asteroid Terrestrial-impact Last Alert System (ATLAS) with Simons Institute. Learn about CCDs, asteroid impacts, early alert systems, and more in 1-2 hours.
Explore neural decision-making and computation with Ila Fiete from the University of Texas at Austin, in this under 1-hour material from Simons Institute.
Explore the relationship between the cortex and thalamus with S. Murray Sherman from the University of Chicago. This Simons Institute offering takes less than an hour.
Explore pattern separation and completion in the hippocampus with Jim Knierim from Johns Hopkins University. Offered by Simons Institute, this less than 1-hour material covers cognitive map theory, memory, and neural circuits.
Explore the possibilities and requirements of safety-critical autonomous systems with Simons Institute. Topics include aerospace design, self-driving cars, and drones.
Explore real-time decision making with Simons Institute's program. Learn about control systems, robustness, feedback design, and constraint optimization in 1-2 hours.
Explore the challenges of deep learning with Stanford's Chris Manning in this under 1-hour material from Simons Institute. Dive into language modeling, transformer models, and neural state machines.
Explore the complexities of estimating Convolutional and Recurrent Neural Networks in this under 1-hour material from Simons Institute, featuring Aarti Singh from Carnegie Mellon University.
Explore generalization theory in deep learning with Simons Institute. Understand PAC-Bayes risk bounds, SGD prediction, and neural network priors in under an hour.
Explore transfer learning in deep learning applications, specifically in medical imaging, with this under 1-hour material from Simons Institute. Learn from Maithra Raghu of Cornell University & Google Brain.
Explore deep learning under distribution shift with Zack Lipton from Carnegie Mellon University, offered by Simons Institute. Learn about adversarial misspellings, label shift, and more in under an hour.
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