Networks of the Mind

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional recommender systems to give users direct c ...  Show more

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers ...  Show more

Go to www.brilliant.org/breakingmathpodcast to learn neural networks, everyday physics, computer science fundamentals, the joy of problem solving, and many related topics in science, technology, engineering, and math.  Mathematics takes inspiration from all forms with which life ...  Show more

In this episode, my guest is Dr. Terry Sejnowski, Ph.D., professor of computational neurobiology at the Salk Institute for Biological Studies. He is world-renowned for exploring how our brain processes and stores information and, with that understanding, for developing tools that ...  Show more

In this episode, my guest is Dr. Charan Ranganath, Ph.D., professor of psychology and neuroscience at the University of California, Davis, and a world expert on the neuroscience of memory. We discuss how memory works, what causes diseases of dementia like Alzheimer’s, and science ...  Show more

Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a “massively parallel s ...  Show more