Optimize Model Inference on CPUs
Almost all quality control and assurance are done manually. Whole teams review each image for potential issues, spending up to 30% of their time on this task.
AI Consensus Scoring at Hasty* finds potential issues. A user can accept or reject its suggestions. Its algorithm uses neural networks and is memory consuming so Hasty is investigating using oneAPI CPU accelerators.
Speaker
Bogdan Zhurakovskyi is a machine learning engineer at Hasty.ai. He received his PhD from the National Technical University of Ukraine, Igor Sikorsky Kyiv Polytechnic Institute.
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产品和性能信息
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性能因用途、配置和其他因素而异。请访问 www.Intel.cn/PerformanceIndex 了解更多信息。