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Xilinx, Spline.AI Introduce X-Ray Classification Deep-Learning Model and Reference Design on AWS.

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INTERNET BUSINESS NEWS-(C)1995-2020 M2 COMMUNICATIONS

Xilinx, Inc. (NASDAQ: XLNX), the provider of adaptive and intelligent computing, has introduced a fully functional medical X-ray classification deep-learning model and a reference design kit, in association with Spline.AI on Amazon Web Services (AWS), the company said.

The high-performance model is deployed on the Xilinx[R] Zynq[R] UltraScale+(TM) MPSoC device based ZCU104 and leverages the Xilinx deep learning processor unit (DPU), a soft-IP tensor accelerator, which is powerful enough to run a variety of neural networks, including classification and detection of diseases.

The collaboratively developed solution uses an open-source model, which runs on a Python programming platform on a Xilinx Zynq UltraScale+ MPSoC device, meaning it can be adapted by researchers to suit different application specific requirements. Medical diagnostic, clinical equipment makers and healthcare service providers can use the open-source design to rapidly develop and deploy trained models for many clinical and radiological applications in a mobile, portable or point-of-care edge device with the option to scale using the cloud.

The solution's artificial intelligence (AI) model is trained using Amazon SageMaker and is deployed from cloud to edge using AWS IoT Greengrass, enabling remote machine learning (ML) model updates, geographically...

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