In this episode, Geoffrey Hinton, a renowned computer scientist and a leading expert in deep learning, provides an in-depth exploration of his groundbreaking new learning algorithm - the forward-forward algorithm. Hinton argues this algorithm provides a more plausible model for how the cerebral cortex might learn, and could be the key to unlocking new possibilities in artificial intelligence.
Throughout the episode, Hinton discusses the mechanics of the forward-forward algorithm, including how it differs from traditional deep learning models and what makes it more effective. He also provides insights into the potential applications of this new algorithm, such as enabling machines to perform tasks that were previously thought to be exclusive to human cognition.
Hinton shares his thoughts on the current state of deep learning and its future prospects, particularly in neuroscience. He explores how advances in deep learning may help us gain a better understanding of our own brains and how we can use this knowledge to create more intelligent machines.
Overall, this podcast provides a fascinating glimpse into the latest developments in artificial intelligence and the cutting-edge research being conducted by one of its leading pioneers.
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
#185 Damon Rasheed & Saurabh Jain: Achieving Up to 90% Accuracy in Predicting Drug Clinical Trial Outcomes with Opyl's Trialkey.ai
#184 André van Schaik: Building An Artificial Brain With 100 Billion Neurons
#183 Will Falcon: Lightning Studio, an iOS for AI Developers?
#182 Dragomir Anguelov: The Role of AI and Machine Learning in Waymo's Self-Driving Cars
#181 Nick Bostrom: The Meaning of Life in a World where AI can do Everything for Us
#180 Thomas Lah: Navigating AI Adoption in Tech Businesses
#179 Ylli Bajraktari: AI and National Security - The Race with China
#178 Terry Sejnowski on Integrating Human Development Principles into AI Models
#177 Björn Ommer: Diffusion Mods Explained By Stable Diffusion’s Creator
#176 Sergey Levine: Decoding The Evolution of AI in Robotics
#175 Aravind Srinivas: Revolutionizing Search with Perplexity AI
#174 Tianmin Shu: How World Models are Shaping The Future of AI
#173 Vincent Vanhoucke: How Is AI Helping Advance Robotics?
#172 Cristóbal Valenzuela: Can AI Revolutionize How We Create Art?
#171 Anna Marie Wagner: Harnessing AI for Synthetic Biology
#170 Richard Sutton on Pursuing AGI Through Reinforcement Learning
#169 Guillermo Rauch: How To Use AI to Improve Web Development
#168 Ian Bremmer on Regulating AI for a Safer Future
#167 Matt Powell: The Impact of AI on Security and Surveillance
#166 Itamar Arel: Is Voice AI the Future of Customer Service?
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