👉 Mrs. Computing, or Mrs. C, is a novel computational model that simulates human cognitive processes using artificial neural networks, specifically designed to mimic the brain's architecture and function. It operates on a spiking neural network (SNN) framework, where neurons communicate via discrete electrical impulses or "spikes," mirroring biological neurons. This approach enables Mrs. Computing to process information in a manner akin to the human brain, making it particularly adept at tasks involving pattern recognition, learning, and decision-making. Unlike traditional artificial neural networks that use continuous values, Mrs. Computing leverages the temporal dynamics of spikes, enhancing its ability to handle time-sensitive data and complex, sequential tasks. By integrating principles from neuroscience, Mrs. Computing offers a more biologically plausible and potentially efficient alternative for advanced AI applications, especially in areas requiring adaptive learning and real-time processing.
