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Melika Payvand
Research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Her work focuses on brain-inspired hardware and algorithm co-design for low-power online training on the edge.
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Aug 1, 2022
• 44min
Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585
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Melika Payvand, a research scientist at the Institute of Neuroinformatics in Zurich, shares her expertise on brain-inspired hardware and algorithm co-design. She discusses how neuromorphic engineering mimics brain architecture to enhance AI efficiency while tackling challenges in online learning algorithms. The conversation highlights the integration of neural networks with innovative memory technologies, coordinates scalability issues, and explores the future potential of brain-inspired tech in practical applications. Get ready for a thrilling dive into the world of low-power AI!
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