In 2021, InfoQ covered a biologically-plausible alternative to backpropagation called zero-divergence inference learning (Z-IL) which can exactly reproduce the results of backpropagation.

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

Back Propagation is a common method of training artificial neural networks so as to minimize objective function. This paper describes the implementation of back propagation algorithm.

Algorithm: An algorithm is a sequence of explicit, step-by-step instructions that enables a computer to problem solve. Artificial General Intelligence (AGI): Also called superintelligence, it’s ...