Machine Learning Is Not Like Your Brain Part 3: Fundamental Architecture - KDnuggets

Today's artificial intelligence (AI) can do some extraordinary things. Its functionality, though, has very little to do with the way in which a human brain works to achieve the same tasks. For AI to overcome its inherent limitations and advance to artificial general intelligence, we must recognize the differences between the brain and its artificial counterparts. With that in mind, this nine-part series examines the capabilities and limitations of biological neurons and how these relate to machine learning (ML). In the first two parts of this series, we examined how a neuron's slowness makes an ML approach to learning implausible in neurons, and how the fundamental algorithm of the perceptron differs from a biological neuron model involving spikes.