Get smarter about analytics by studying memory design - TechRepublic

Since the inception of artificial intelligence (AI), computer scientists have used our biological systems to model and design predictive analytic systems. The design of a neural network is roughly modeled against the way our brain works: with sensory inputs, neurons, and synapses. Genetic algorithms are designed to mimic the way our genes combine to optimally adapt to our surroundings. This approach has its flaws: we don't completely understand the way we work; even current technology can't come close to the volume and speed with which we process information; and let's face it--we're not perfect. So in some ways humans aren't a great paragon for an advanced analytic system, which is why current-day data scientists often ignore the way our memory system works.