We present reconfigurable optical sensors that can directly detect spectral and spatial features of incident light, enabled by the reconfigurability of the devices and the implementation of machine learning algorithms for information encoding and decoding. Photosensors for image classification, spectral mixture analysis, autoencoding, and compressed sensing will be discussed. In all these devices, the computation is performed at the lowest possible level of the sensor system hierarchy – the physical level of photodetection – and does not require any external processing of the measurement data.
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