Untether AI
Ran Zhang is a Senior Deep Learning Engineer at Untether AI since April 2024, specializing in AI inference chipset acceleration, including graph optimization, AI model quantization, and operation optimization. Prior to this role, Ran served as a Senior Deep Learning Engineer at NETINT Technologies Inc. from December 2022 to February 2024, where responsibilities included optimizing video encoding algorithms and deploying lightweight OCR and image segmentation models on video encoding chips. Ran's experience as a Research Assistant at The University of British Columbia from January 2019 to October 2022 involved scene text spotting, optical character recognition, and other image processing tasks. Ran holds a PhD in Electrical Engineering from The University of British Columbia and a Master of Science in Computer Software and Theory from Capital Normal University.
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Untether AI
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Untether AI was founded in 2018, and is developing ultra-efficient, high-performance AI chips to enable new frontiers in AI applications. By combining the power efficiency of near-memory design with the robustness of digital processing, Untether AI has developed a groundbreaking new chip architecture for neural net inference that moves data 1,000 times faster.