Bio-inspired Neuromorphic Circuits Architectures for Ultra-Low Power AI
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore bio-inspired neuromorphic circuit architectures in this 56-minute tutorial from tinyML EMEA 2021. Delve into the world of Neuromorphic Intelligence (NI) as Professor Giacomo Indiveri from ETH Zurich discusses how ultra-low power electronic circuits and brain-inspired computing architectures can overcome the limitations of current AI systems. Learn about strategies derived from neuroscience for robust, low-latency computation using electronic neural elements that mimic biological neurons and synapses. Discover applications of NI processing systems in extreme-edge use cases requiring low power and local data processing. The tutorial covers topics such as neural networks, memory and energy considerations, biological neural networks, silicon neurons, robust computation, and bioinspired architectures, providing insights into the future of computing and the potential of neuromorphic systems to revolutionize AI applications.