Self-learning sensor chips won’t need networks

Self-learning sensor chips won’t need networks

Tiny, intelligent microelectronics should be used to perform as much sensor processing as possible on-chip rather than wasting resources by sending often un-needed, duplicated raw data to the cloud or computers. So say scientists behind new, machine-learning networks that aim to embed everything needed for artificial intelligence (AI) onto a processor.

“This opens the door for many new applications, starting from real-time evaluation of sensor data,” says Fraunhofer Institute for Microelectronic Circuits and Systems on its website. No delays sending unnecessary data onwards, along with speedy processing, means theoretically there is zero latency.

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