Large language models (LLMs), which have shown remarkable capabilities, are
revolutionizing AI development and potentially shaping our future. However, given their …

Minimizing monetary cost and maximizing the goodput of inference serving systems are
increasingly important with the ever-increasing popularity of deep learning models. While it …

Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …

Earth observation satellites, in low Earth orbits, are increasingly approaching near-
continuous imaging of the Earth. Today, these satellites capture an image of every part of …

The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

Collaborative perception systems leverage multiple edge devices, such surveillance
cameras or autonomous cars, to enhance sensing quality and eliminate blind spots. Despite …

Various audio and video applications rely on multiple deep neural network (DNN) models
deployed on edge servers to conduct inference with ms-level latency service-level …

Collaborative edge sensing systems, particularly in collaborative perception systems in
autonomous driving, can significantly enhance tracking accuracy and reduce blind spots …

Trigger-Action Program (TAP) is a simple but powerful format to realize intelligent IoT
applications, especially in home automation scenarios. Existing trace-driven approaches …

Surveillance cameras are ubiquitous nowadays and users' increasing needs for accessing
real-world information (eg, finding abandoned luggage) have urged object queries in real …