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Intel, Philips Accelerate Deep Learning on CPUs in Key Medical Imaging Uses

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Intel and Philips have tested two health care use cases for deep learning inference models. In these tests, Intel and Philips achieved a speed improvement of 188× for a bone-age-prediction model, and a 38× speed improvement for a lung-segmentation model over the baseline measurements using Intel Xeon Scalable processors and the OpenVINO toolkit. “Intel Xeon Scalable processors appear to be the right solution for this type of artificial intelligence (AI) workload,” said Vijayananda J., chief architect and fellow of data science and AI at Philips HealthSuite...Read full article

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