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Ultra low-power Neural Processing Unit dynamically adjusts functions to suit applications

May 20, 2019 By Aimee Kalnoskas Leave a Comment

KL520Named after its release date of May 20th, Kneron’s debut AI Chip “KL520” has the best-in-class power efficiency only consuming a few hundred mega-watts, bringing AI computation power to edge devices for various applications.

Kneron is also announcing partnerships with industry leaders to bring their chip into our everyday lives. Partnerships include fabless IC maker Etron Technology Inc., US-listed company Himax Technologies Inc. (NASDAQ: HIMX), enterprise PC OEM AAEON Technology Inc., 3C solution provider Alltek Technology Corp, renowned ODM players Pegatron, as well as 3D sensing provider Orbbec, and IC design house Datang Semiconductor.

The KL520 edge AI chip is a culmination of Kneron’s core technologies, combining proprietary software and hardware designs to create a highly efficient and ultra-low-power Neural Processing Unit (NPU). Running AI computations on the end device will help generate real-time insights without relying on the cloud.

In particular, KL520 is equipped with a unique reconfigurable architecture which allows the chip to run a number of different convolutional neural networks (CNN) based on different applications, regardless of its kernel size, architecture requirements or input size. In turn, the chip is able to achieve a very high MAC (media access control) efficiency, a key metric for efficient computation. This software innovation allows the chip to dynamically adjust its function based on applications needs, in order to achieve maximum efficiency. The KL520 is also equipped with a proprietary compression technology that is able to compress a large AI neural network into a very small footprint to process on the edge device, without sacrificing large amounts of power.

Kneron’s software and hardware innovations are truly a breakthrough in the development of edge AI. By bringing elements of reconfigurability and compression onto the chip, the KL520 is bringing AI computation to various end-devices that operate under low-powered environments.

Features and targeted applications for the KL520:

-Low-powered with a small physical footprint
-The KL250 can run alongside a main chip as a co-processor; will not need a replacement chip
-For smart door lock applications, KL520 includes two ARM Cortex M4 CPU, which can serve as the main processor.
-Balances the need of performance, power and cost to bring the best solution for edge applications
-Applicable to various 3D sensor technologies such as structured light, dual-camera and ToF, and Kneron’s exclusive 3D sensing technology
-Well-suited for applications including smart locks, security cameras, drones, smart home appliances and robotics

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Filed Under: Applications, Artificial intelligence/ML, Microprocessor, Neural Networking Tagged With: kneron

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