High Speed

High-speed technologies are pushing the boundaries of various fields by enabling faster data acquisition, processing, and control. Current research focuses on developing high-speed imaging systems using novel sensor technologies (like event cameras and SPADs) and advanced signal processing techniques (including convolutional neural networks and implicit neural representations) to overcome limitations in low-light conditions and motion blur. These advancements are significantly impacting diverse applications, from robotics and autonomous driving to medical imaging and particle accelerator physics, by enabling real-time analysis and control in dynamic environments. The development of efficient algorithms and architectures, such as those based on differentiable simulations and FPGA implementation, is crucial for achieving the necessary speed and accuracy.