MIT Technology Review  March 4, 2020 Visual information is captured by a frame-based camera, converted into a digital format and processed afterwards using a machine-learning algorithm such as an artificial neural network (ANN). The large amount of data passed through the entire signal chain, however, results in low frame rates and high-power consumption. Researchers in Austria built a sensor based on a reconfigurable two-dimensional semiconductor photodiode array, and the synaptic weights of the network are stored in a continuously tunable photoresponsivity matrix. The sensor can itself constitute an ANN that can simultaneously sense and process optical images without latency. They […]