Rapid Algorithm to HW: Using HLS for Computer Vision and Deep Learning Seminar

The Computer Vision and Deep Learning markets have seen rapid advancements in image processing and recognition. These algorithms, crucial across sectors like medical, industrial, and automotive (especially for autonomous vehicles), demand high parallel compute performance with low power. While FPGAs or ASICs are often the only practical solution, their lengthy RTL development cycles are prohibitive and hinder adaptation to rapid market changes.