Untether AI
Can (Cathey) Wang is a Senior Deep Learning Engineer at Untether AI, specializing in the development and optimization of algorithms for CNN and Transformer models on next-generation accelerator chips. Previous experience includes roles as a Machine Learning Engineer at Jumio Corporation, where models for biometric fairness and identity verification were developed, and at Synex Medical, leading data science efforts to analyze NMR signals and developing patented CNNs for metabolite concentration quantification. Additional positions at Neuri Pte Ltd, Biofourmis, Huami, Medtronic, SoftGenetics LLC, and Vasoptic Medical involved research and development in machine learning applications across various health metrics and financial analyses. Educational qualifications include a Master of Science in Biomedical/Medical Engineering from Carnegie Mellon University and a Bachelor of Science in Biomedical Engineering from The Johns Hopkins 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.