Untether AI
George Zhai is an AI Applications Engineer at Untether AI, where responsibilities include stress-testing the imAIgine® SDK for speedAI devices. Previously, as a Machine Learning Researcher at the Oden Institute for Computational Engineering and Sciences, George developed algorithms for multimodal learning and contributed to the discovery of a novel biomarker for type 1 diabetes with 89% predictive accuracy. Experience as an Instructional Assistant at McMaster University involved teaching data science courses and aiding students in dataset analysis across various domains. As an AI Developer at Pipeline Studios, George built data pipelines and developed deep learning models for various detection tasks. George holds a Master of Science in Computer Science from The University of Texas at Austin and a Master of Engineering in Engineering Design from McMaster 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.