Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.
https://braininspired.co/series/brain-inspired/
Gesamtlänge aller Episoden: 8 days 17 hours 30 minutes
BI 105 Sanjeev Arora: Off the Convex Path
Sanjeev and I discuss some of the progress toward understanding how deep learning works, specially under previous assumptions it wouldnt or shouldnt work as well as it does. Deep learning theory poses a challenge for mathematics, because its methods aren
BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight
What is creativity? How do we measure it? How do our brains implement it, and how might AI?Those are some of the questions John, David, and I discuss. The neuroscience of creativity is young, in its wild west days still. We talk about a few creativity st
BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading
Randal, Ken, and I discuss a host of topics around the future goal of uploading our minds into non-brain systems, to continue our mental lives and expand our range of experiences. The basic requirement for such a subtrate-independent mind is to implement
BI 102 Mark Humphries: What Is It Like To Be A Spike?
Mark and I discuss his book, The Spike: An Epic Journey Through the Brain in 2.1 Seconds. It chronicles how a series of action potentials fire through the brain in a couple seconds of someones life. Starting with light hitting the retina as a person look
BI 101 Steve Potter: Motivating Brains In and Out of Dishes
Steve and I discuss his book, How to Motivate Your Students to Love Learning, which is both a memoir and a guide for teachers and students to optimize the learning experience for intrinsic motivation. Steve taught neuroscience and engineering courses whi
BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?
We made it to the last bit of our 100th episode celebration. These have been super fun for me, and I hope youve enjoyed the collections as well. If youre wondering where the missing 5th part is, I reserved it exclusively for Brain Inspireds magnificent P
BI 100.4 Special: What Ideas Are Holding Us Back?
In the 4th installment of our 100th episode celebration, previous guests responded to the question: What ideas, assumptions, or terms do you think is holding back neuroscience/AI, and why? As usual, the responses are varied and wonderful! Ti
BI 100.3 Special: Can We Scale Up to AGI with Current Tech?
Part 3 in our 100th episode celebration. Previous guests answered the question: Given the continual surprising progress in AI powered by scaling up parameters and using more compute, while using fairly generic architectures (eg. GPT-3): Do you thi
BI 100.2 Special: What Are the Biggest Challenges and Disagreements?
In this 2nd special 100th episode installment, many previous guests answer the question: What is currently the most important disagreement or challenge in neuroscience and/or AI, and what do you think the right answer or direction is? The variety of answ
BI 100.1 Special: What Has Improved Your Career or Well-being?
Brain Inspired turns 100 (episodes) today! To celebrate, my patreon supporters helped me create a list of questions to ask my previous guests, many of whom contributed by answering any or all of the questions. Ive collected all their responses into separ