Neuromorphic Hardware Guide (open-neuromorphic.org)

The newly launched Open Neuromorphic Hardware Guide serves as a comprehensive directory for neuromorphic hardware, showcasing an array of innovative chips and architectures, from historic to cutting-edge designs. This guide includes detailed specifications, architectural insights, and relevant publications, facilitating researchers and developers in navigating the rapidly evolving landscape of brain-inspired computing technologies. Notable entries feature the TSP1 chip, which delivers ultra-low power automatic speech recognition, and Innatera's Pulsar, designed for real-time intelligence without relying on cloud services. This resource is significant for the AI/ML community as it highlights the growing trend towards neuromorphic computing, which mimics neural structures to enhance inference capabilities in energy-efficient ways. With chips like BrainChip’s Akida and SynSense’s Speck leading the charge in on-chip learning and event-driven computation, the guide underscores a paradigm shift towards agile, adaptive intelligence in edge devices. Overall, it reflects critical advancements in performance, energy efficiency, and learning capabilities, reinforcing the importance of neuromorphic systems in the future of AI applications.