(Worthy News) – Deep learning is a subfield of machine learning concerned with algorithms – sets of instructions for solving a problem or accomplishing a task, like a recipe – that are inspired by the structure and function of the brain.
Israeli scientists have now discovered that just one single neuron (nerve cell) is enough achieve deep-learning algorithms that previously required an artificial complex network consisting of thousands of connected neurons and synapses (structures that enable neurons to pass an electrical or chemical signal to another neuron). This discovery by researchers ast Bar-Ilan University (BIU) near Tel Aviv is expected to have important implications on future artificial-intelligence hardware.
The brain is a complex network containing billions of neurons. Each of these neurons communicates simultaneously with thousands of others via their synapses and collects incoming signals through several extremely long, branched “arms” called dendritic trees. [ Source: Israel365 (Read More…) ]