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.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.