Three-dimensional INtegrated PhotonIcS to RevolutionizE deep Learning
Neural networks revolutionize computation and already outperform humans according to many benchmarks. They have the potential to transform society and have already influenced Google to place artificial intelligence at the core (“AI first”) of business strategy. Governments and policy bodies worldwide focus on neural network-based computing as a vital future technology.
Despite the evident promise, however, current architectures severely lose computational efficiency when applied to large neural networks and scale badly. The performance of current neural network hardware is orders of magnitude below what is theoretically possible, and the future development of artificial intelligence is therefore in jeopardy.
In INSPIRE we will address this problem by developing neural network processors using advanced photonic components, specifically enabling a breakthrough with three-dimensional integrated photonic waveguides to implement a biologically inspired, fully parallel and scalable architecture.