Neuromorphic computing is a process in which computer chips are designed and engineered to mirror the structure and function of the human brain. Using artificial neurons and synapses, neuromorphic computers simulate the way our brains process information more efficiently than the computers we commonly use today. Though it has very few real-world applications, neuromorphic computing shows a lot of promise, particularly in areas like edge computing, autonomous vehicles, cognitive computing, and other applications of artificial intelligence. Neuromorphic architectures are most often modeled after the neocortex in the brain, where higher cognitive functions are thought to occur. Neuromorphic computers try to replicate that efficiency by forming what are called spiking neural networks. Neuromorphic computing offers a wide range of benefits, positioning it to be a transformative addition to the world of advanced computing.
Neuromorphic computing is a process in which computer chips are designed and engineered to mirror the structure and function of the human brain. Using artificial neurons and synapses, neuromorphic computers simulate the way our brains process information more efficiently than the computers we commonly use today. Though it has very few real-world applications, neuromorphic computing shows a lot of promise, particularly in areas like edge computing, autonomous vehicles, cognitive computing, and other applications of artificial intelligence. Neuromorphic architectures are most often modeled after the neocortex in the brain, where higher cognitive functions are thought to occur. Neuromorphic computers try to replicate that efficiency by forming what are called spiking neural networks. Neuromorphic computing offers a wide range of benefits, positioning it to be a transformative addition to the world of advanced computing.