

Tobi Delbrück Talks Caltech, Cameras, and Neural Control
Jan 30, 2024
Tobi Delbrück, a pioneer in neuromorphic engineering and professor at the Institute of Neuroinformatics in Zurich, delves into his journey from Caltech to cutting-edge technology. He discusses the evolution of dynamic vision sensors, highlighting how they can mimic human sight for better efficiency. The conversation also tackles the role of sparsity in enhancing neural hardware, impacting fields like robotics and speech recognition. Delbrück emphasizes the shift from theory to practice, showcasing the real-world applications of neuromorphic computing.
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Episode notes
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Intro
00:00 • 2min
Navigating the Early Days of Neural Computation at Caltech
01:37 • 3min
Innovations in Image Sensors and Neuromorphic Camera Technologies
04:17 • 3min
Harnessing Sparsity in Neural Hardware for Enhanced Efficiency
07:18 • 3min
Optimizing Robotic Control with Neural Networks
10:47 • 4min
Evolution of Neuromorphic Engineering
14:23 • 12min
Exploring Attention and Neuromorphic Engineering in Robotics
26:08 • 10min
From Theory to Practice: The Evolution of Neuromorphic Computing
35:48 • 9min