👉 Heart computing, also known as neuromorphic computing or brain-inspired computing, is a paradigm that mimics the structure and function of the human brain to process information. Unlike traditional computing, which relies on sequential processing and binary logic, heart computing leverages parallelism and event-driven architectures to emulate neural networks. This approach uses artificial neurons and synapses that communicate via spikes, similar to biological neurons, enabling efficient processing of complex, unstructured data such as sensory inputs and real-time decision-making tasks. By operating in a more energy-efficient manner, heart computing excels in tasks like pattern recognition, anomaly detection, and adaptive learning, making it particularly suitable for applications requiring rapid, low-power computation, such as robotics, autonomous systems, and advanced AI.
