Reconfigurable multilayer image processing artificial intelligence network

The present disclosure provides methods, devices, and systems for artificial intelligence (AI) networks. The present implementation more specifically relates to an AI network on an application specific integrated circuit (ASIC) capable of operating as a reconfigurable multi-layer image processor cap...

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Bibliographic Details
Main Authors MOONEY BARRY, DEVERE, ALAIN, TAMBOLI ADITYA
Format Patent
LanguageChinese
English
Published 29.03.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The present disclosure provides methods, devices, and systems for artificial intelligence (AI) networks. The present implementation more specifically relates to an AI network on an application specific integrated circuit (ASIC) capable of operating as a reconfigurable multi-layer image processor capable of implementing different AI models. In some aspects, each layer in a multi-layer AI network includes a plurality of multiplier-accumulator (MAC) units, and at least one layer is divided into a plurality of MAC unit blocks that are reconfigurable to operate independently or in one or more combinations of MAC unit blocks. Arrangement of multiple MAC unit blocks in at least one layer enables implementation of one or more virtual layers, reconfiguration of an input depth size, reconfiguration of an output feature map size, or a combination thereof, which can be used to execute a desired AI model for image processing. 本公开提供用于人工智能(AI)网络的方法、设备以及系统。本实现方式更具体地涉及能够作为能够实现不同的AI模型的可重配置多层图像处理器来操作的专用集成电路(ASIC)上的AI网络。在一些方面，多层
Bibliography:Application Number: CN202311269024