Researchers have developed a new intelligent photonic sensing-computing chip that can process, transmit and reconstruct images of a scene within nanoseconds. Credit: Wei Wu, Tsinghua University.

Researchers have created a photonic chip capable of processing images at nanosecond speeds, significantly faster than current methods. This chip enhances edge intelligence by integrating AI analysis directly into optical processing, potentially transforming applications such as autonomous driving.

Researchers have demonstrated a new intelligent photonic sensing-computing chip that can process, transmit and reconstruct images of a scene within nanoseconds. This advance opens the door to extremely high-speed image processing that could benefit edge intelligence for machine vision applications such as autonomous driving, industrial inspection and robotic vision.

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A Finnish startup called Flow Computing is making one of the wildest claims ever heard in silicon engineering: by adding its proprietary companion chip, any CPU can instantly double its performance, increasing to as much as 100x with software tweaks.

If it works, it could help the industry keep up with the insatiable compute demand of AI makers.

Flow is a spinout of VTT, a Finland state-backed research organization that’s a bit like a national lab. The chip technology it’s commercializing, which it has branded the Parallel Processing Unit, is the result of research performed at that lab (though VTT is an investor, the IP is owned by Flow).