XOR Gate

The XOR gate, a fundamental logic gate representing exclusive disjunction, presents a classic challenge in machine learning due to its non-linearity. Current research focuses on efficiently implementing XOR using various architectures, including single-layer neural networks with novel activation functions like PReLU, spiking neural networks with optimized parameters, and even adiabatic Josephson junction-based analog networks. These investigations explore the interplay between network architecture, training algorithms, and the inherent difficulty of learning non-linear functions, with implications for understanding both biological neural computation and the design of efficient hardware for binary neural networks.