Within this large brain network are 100 trillion synapses, 100 billion neurons, in total consuming only 20 watts of energy. In order to scale to this level of computing power, the next generation of AI computing power needs to be highly efficient.
Accelerate next generation of AI research by exploring under-explored mathematical algorithms from “brain-inspired” massively-scalable approaches.
Develop greater abstracting and reasoning capabilities such as applying knowledge from one domain to another domain along with perceiving and learning.
This model must validate for potential of 10x improvement in energy efficiency and data rate handling capability.