Bio-inspired Neuromorphic Circuits Architectures for Ultra-Low Power AI
Offered By: tinyML via YouTube
Course Description
Overview
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.
Syllabus
Introduction
Neural networks
Memory and energy
Future of computing
Biological neural networks
Space and memory
Let time represent itself
Silicon neuron
Analog digital divide
Robust computation
Coefficient of variation
False myths
Bioinspired architectures
Dynams
spiking neural network
summary
closing remarks
Sponsors
Taught by
tinyML
Related Courses
Fog Networks and the Internet of ThingsPrinceton University via Coursera AWS IoT: Developing and Deploying an Internet of Things
Amazon Web Services via edX Business Considerations for 5G with Edge, IoT, and AI
Linux Foundation via edX 5G Strategy for Business Leaders
Linux Foundation via edX Intel® Edge AI Fundamentals with OpenVINO™
Intel via Udacity