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Ido Gus serves as CEVA’s Deep Learning Team Leader at the Sound Technologies group. He brings over 12 years of experience, spanning software development, algorithm optimization, deep learning algorithm research, and project management, and he specialized in the application of deep learning algorithms to audio and sound processing. Ido holds a B.Sc. in Information Systems Engineering from Ben Gurion University of the Negev, and an M.BA. from the Hebrew University of Jerusalem. He is passionate about leading cutting edge deep learning projects from research to optimized implementation on edge devices.

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