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Updated on
25/01/2026 [07:48:00]
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Absstract of: WO2025262917A1
This proof verification device includes: a forward propagation unit that guarantees, by zero-knowledge proof, the correctness of computation in forward propagation processing of a batch normalization system of a neural network or a deep neural network; and an inverse propagation unit that guarantees, by zero-knowledge proof, the correctness of computation in the inverse propagation processing of the neural network or deep neural network.
Nº publicación: WO2025264452A1 26/12/2025
Applicant:
ADVANCED MICRO DEVICES INC [US]
ATI TECHNOLOGIES ULC [CA]
ADVANCED MICRO DEVICES, INC,
ATI TECHNOLOGIES ULC
Absstract of: WO2025264452A1
To generate a compensation map used to enhance a captured image, an accelerator unit (AU) is configured to implement a trained neural network. This trained neural network is configured to encode one or more lighting characteristics from the capture image and decode these lighting characteristics into a compensation map. The AU uses the compensation map generated by the trained neural network to modify at least a portion of the captured image to produce an enhanced image. Then, the AU applies one or more additional postprocessing techniques to further improve quality of the enhanced image prior to rendering the enhanced image on a display.
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