Biological neurons are just too slow to be useful for Machine Learning algorithms. While today’s AI has incredible abilities, it does not display any form of general intelligence the way that humans do. Understanding the limits of Machine Learning and how it compares to the human brain is the key for AI to evolve into its next phase, AGI. Videos in this series will focus on individual facets of Machine Learning which are impossible or highly unlikely in neurons. Subsequent videos will show that neurons and synapses are not able to represent the signal values with the resolution needed by ML, and how the entire backpropagation process cannot be projected into a biological context. Rather than accepting Machine Learning as the de facto standard, FutureAI is pursuing alternative approaches and algorithms which will lead to breakthroughs in future technology. Watch the Full Playlist: _______________________________
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