Neural networks are the backbone of deep learning, a branch of machine learning. Artificial intelligence (AI) is considered to be a subset of general AI. General artificial intelligence is the ability for a computer program to perform tasks that would otherwise require human intelligence or expertise. Neural networks work by filtering information and attempting to find patterns in that information.

One such neural network is called the Hopfield network; its typical use case includes pattern recognition tasks. It has been around since the 1980s, but some recent discoveries place it under a new light.

On this podcast we discuss about the relationship between the Hopfield network, deep learning and what's next for General AI with Tom Burns, a PhD researchers based in Okinawa, Japan.

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