The Inescapable Conclusion: Machine Learning Is Not Like Your Brain - KDnuggets

The final article in this nine-part series summarizes the many reasons why Machine Learning is not like your brain - along with a few similarities. Hopefully, these articles have helped to explain the capabilities and limitations of biological neurons, how these relate to ML, and ultimately what will be needed to replicate the contextual knowledge of the human brain, enabling AI to attain true intelligence and understanding. In examining Machine Learning and the biological brain, the inescapable conclusion is that ML is not very much like a brain at all. In fact, the only similarity is that a neural network consists of things called neurons connected by things called synapses. Otherwise, the signals are different, the timescale is different, and the algorithms of ML are impossible in biological neurons for a number of reasons.