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Article
Near-sensor and in-sensor computing
The number of nodes typically used in sensory networks is growing rapidly, leading to large amounts of redundant data being exchanged between sensory terminals and computing units. To efficiently process such ...
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Article
Bioinspired in-sensor visual adaptation for accurate perception
Machine vision systems that capture images for visual inspection and identification tasks have to be able to perceive a scene under a range of illumination conditions. To achieve this, current systems use circ...
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Article
Silicon photodiodes that multiply
Silicon-based dual-gate photodiodes with electrostatically controlled photocurrents can be used to create imaging systems that can compute incoming visual data.
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Article
Computational event-driven vision sensors for in-sensor spiking neural networks
Neuromorphic event-based image sensors capture only the dynamic motion in a scene, which is then transferred to computation units for motion recognition. This approach, however, leads to time latency and can b...
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Article
Neuromorphic computing based on halide perovskites
Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal–oxide–s...