As we unearth the benefits, the success of our machine learning and AI quest seem to depend to a great extent on the success of Neuromorphic Computing.
Neuromorphic Computing chips can process multiple facts, learn tasks and patterns at high speed. Neuromorphic Computing chips, a crucial upgrade in traditional systems, are compact, portable, and energy-efficient. Neuromorphic computing involves the production and use of neural networks to function like a human brain, making decisions and also memorizing information and analyzing facts.
The Road Ahead.
Neuromorphic computing can greatly impact the future of machine learning and AI. “These new kind of chips should increase dramatically the use of machine learning, enabling applications to consume less power and at the same time become more responsive.”-Deloitte market analysis.
Neuromorphic Computing is the 5th generation of AI. The 1st generation AI defined rules and followed classical logic to arrive at conclusions within a specific, narrowly outlined problem domain.