How to Build a Brain: An Introduction to Neuromorphic Computing
Explores the fundamental concepts of neuromorphic computing, examining how traditional binary logic can be superseded by systems emulating neural functions for advanced AI.
Artificial Intelligence (AI) has made giant leaps forward thanks to Neural Networks that take inspiration from the human brain for data processing. But the current computer architecture is quite unlike that of the brain, which poses a huge problem for their performance. As the demands for AI are getting more and more complex, something has to change. In this talk we take a look into Neuromorphic Computing, where the traditional binary logic and CMOS transistors are replaced with the idea of using nanoscale devices and physics to directly emulate the functions of neurons and synapses; essentially constructing artificial brains.