Photonic Learning

Training artificial neural networks can be discrete (digital) and continuous (analogue). In the former case, machine learning has always been the sphere of search for ways to optimise this process because it takes enormous amount of computer energy and time. Due to the photonic approach, the latter case eliminates these restrictions and enriches the cognitive semantics of AI models.