These sources provide a comprehensive overview of neuromorphic computing (NC), focusing heavily on specialized hardware and advanced Spiking Neural Network (SNN) architectures. One source, Open Neuromorphic, functions as a hardware guide, listing cutting-edge chips like Intel's Loihi, IBM's TrueNorth, and SynSense's Speck, detailing their specifications, release years, and capabilities like on-chip learning. The other sources explore the rise and impact of NC, emphasizing its energy efficiency—consuming up to 80% less power than conventional AI—and its crucial role in applications like edge AI, robotics, and solving complex optimization problems (Nheuristics). Furthermore, the articles discuss technical innovations like the Spiking Token Mixer (STMixer) architecture, designed to be compatible with event-driven asynchronous chips, and the challenges in mapping SNNs and encoding information using spike timing (temporal encoding) or frequency (rate encoding) for optimal hardware performance.Sources:• Neuromorphic Hardware Guide - Open Neuromorphic• 2025-08-07 The Rise of Neuromorphic Computing: How Brain-Inspired AI is Shaping the Future in 2025• 2023 Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline https://arxiv.org/pdf/2304.06793• 2025-05-23 Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms https://arxiv.org/pdf/2505.16362