👉 Bat computing is an innovative approach to artificial intelligence and machine learning that mimics the biological processes of bats, particularly their echolocation abilities. In this system, a network of sensors or "bat nodes" work together to gather and process environmental data, similar to how bats emit high-frequency sounds and interpret the returning echoes to navigate and locate prey. Each node acts as a mini-computer, performing local computations and sharing information with neighboring nodes through wireless communication. This decentralized architecture allows the system to operate efficiently in complex and dynamic environments, making real-time decisions without a central control point. By leveraging the collective intelligence of the network, bat computing can achieve robust and adaptive behavior, making it particularly useful for applications like autonomous robotics, swarm intelligence, and real-time data processing in challenging conditions.
