IoT has recently witnessed a boom in AI deployment at the edge as a result of the newly
developed small size Machine Learning (ML) models and integrated hardware accelerators …

Large-scale distributed systems are increasingly reliant on efficient resource allocation to
meet the demands of real-time applications. However, the challenges of maintaining low …

In the era of rapidly expanding smart surveillance systems, AI cameras are pivotal for real-
time analytics in applications ranging from security to industrial automation. However, with …