Jan 19, 2023
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