Photon-based processing units enable more complex machine learning

The goal of artificial intelligence is to duplicate the capabilities of the human brain. Deep learning is the branch of AI that gives the machine the power to think like humans. A machine learning expert works with neural networks for a range of applications. Recently, Applied Physics Reviews, a journal by AIP Publishing, published a paper that proposed a new technique for neural network computation. The paper suggests using light instead of electricity to perform the necessary computations. The approach is based on a photonic tensor core that can perform multiplications of matrices in parallel. The methodology is supposed to improve the efficiency and speed of current deep learning paradigms.