AI Aided Neuromorphic Computing

Neuromorphic Computing Brain-inspired computing is known as Neuromorphic computing , It is a branch of computer science that aims to develop computer systems modeled after the structure and functioning of the human brain. Neuromorphic computing systems consist of neuromorphic chips or hardware, which are designed to efficiently process and analyze massive amounts of data by utilizing low power consumption. These chips contain artificial neural networks, synapse-like connections, and spiking neurons that enable them to perform tasks like pattern recognition, sensory processing, and even learning and adaptation. Neuromorphic computing has numerous potential applications in technology upgrading across various industries. Some of the areas where neuromorphic computing is being employed include: 1. Robotics: Neuromorphic chips can be used to enhance the abilities of robots, such as engaging in natural communication with humans, recognizing objects or gestures, and per...