Transformers have revolutionized the machine learning landscape, gradually making their
way into everyday tasks and equipping our computers with``sparks of intelligence'' …

The relentless expansion of deep learning (DL) applications in recent years has prompted a
pivotal shift towards on-device execution, driven by the urgent need for real-time processing …

Conditional Neural Networks are networks in which the computations performed vary based
on the input. Many neural networks (NNs) of interest (such as autoregressive transformers …

While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …

Driven by the accelerated convergence of artificial intelligence (AI) and the Internet of Things
(IoT), the recent years have witnessed the booming of Artificial Intelligence of Things (AIoT) …

Deep learning (DL) technology has shown great promise in enhancing many facets of our
lives by improving the accuracy of everyday modern applications, including but not limited to …