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Perform AI-Driven Medical Imaging Efficiently and Cost-Effectively on Intel® CPU–Based Systems

By: Intel
Intel

Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its end customers without significantly increasing the cost of the customers’ systems and without requiring modifications to the hardware deployed in the field.

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Published:  Apr 11, 2019
Length:  6
Type:  White Paper