Perception Latency
Perception latency, the delay between sensing and acting, is a critical challenge across various fields, from autonomous vehicles to speech processing. Current research focuses on mitigating this latency through novel algorithms and architectures, including deep learning models that predict future actions based on current observations and hybrid neural network approaches combining the strengths of ANNs and SNNs for low-power, low-latency applications. Addressing perception latency is crucial for improving the responsiveness and efficiency of real-time systems, impacting areas such as robotics, AI, and human-computer interaction. Optimizing the trade-off between latency and accuracy is a key focus, leading to the development of sophisticated scheduling and resource allocation strategies.