Neuromorphic Research Chip Loihi

Intel's Loihi neuromorphic research chip aims to achieve energy-efficient and high-speed computation by mimicking the brain's architecture. Current research focuses on implementing and optimizing various machine learning algorithms, including spiking neural networks (SNNs) and hybrid SNN-ANN models, for tasks like object recognition, robotic control, and signal processing. This work demonstrates significant energy and latency advantages over traditional CPUs and GPUs, particularly for resource-constrained edge computing applications, showcasing the potential of neuromorphic computing for power-sensitive real-world deployments.