Neuromorphic computing, also known as Neuromorphic engineering is an interdisciplinary subject that combines biology, physics, mathematics, computer science and electronics engineering to design artificial neural systems.
Examples of artificial neural systems includes head-eye systems, autonomous robots, auditory
processors whose physical architecture and design principles are based on biological nervous systems.
Neuromorphic computing concept was originated and developed in the late 1980s. It covers the use of Very-Large-Scale-Integration (VLSI) systems containing electrical analog circuits to mimic biological nervous system architecture.
Neuromorphic computing works on the principle in which morphology of individual neurons, circuits, applications creates desirable computation, works on the information gathered, convert it into learning and development.
Intel is working on neuromorphic chip called "Loihi" since 2012. Instead of logic gates, it uses "spiking neurons" as a fundamental computing unit.
IBM has also developed a neuromorphic chip called "TrueNorth" with 4096 processors.
Neuromorphic computing concept was originated and developed in the late 1980s. It covers the use of Very-Large-Scale-Integration (VLSI) systems containing electrical analog circuits to mimic biological nervous system architecture.
Neuromorphic computing works on the principle in which morphology of individual neurons, circuits, applications creates desirable computation, works on the information gathered, convert it into learning and development.
Intel is working on neuromorphic chip called "Loihi" since 2012. Instead of logic gates, it uses "spiking neurons" as a fundamental computing unit.
IBM has also developed a neuromorphic chip called "TrueNorth" with 4096 processors.
Comments
Post a Comment