Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
3D semantic maps have played an increasingly important role in high-precision robot localization and scene understanding. However, real-time construction of semantic maps requires mobile edge devices with extremely high computing power, which are expensive and limit the widespread application of semantic mapping. In order to address this limitation, inspired by cloud-edge collaborative computing...
As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from digital screens via visible light. Despite their promise, most of them are hindered by dynamic factors such as screen refreshing and rapid camera motion. CMOS ca...
Precisely modeling radio propagation in complex environments has been a significant challenge, especially with the advent of 5G and beyond networks,...
Federated Learning (FL) is a distributed approach to collaboratively training machine learning models. FL requires a high level of communication bet...
Mixture-of-Experts-based (MoE-based) diffusion models demonstrate remarkable scalability in high-fidelity image generation, yet their reliance on ex...
As one of the most prevalent diseases worldwide, plaque formation in human arteries, known as atherosclerosis, is the focus of many research efforts...
The wireless spectrum's increasing complexity poses challenges and opportunities, highlighting the necessity for real-time solutions and robust data...
Modular robots are collections of simple embodied agents, the modules, that interact with each other to achieve complex behaviors. Each module may hav...
Currently, eight million people in the United States suffer from cancer and it is a major global health concern. Early detection and interventions are...
Recommender systems play a pivotal role across practical scenarios, showcasing remarkable capabilities in user preference modeling. However, the cen...
Individuals with cerebral palsy (CP) and amyotrophic lateral sclerosis (ALS) frequently face challenges with articulation, leading to dysarthria and...
Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer prevention and serves as a complement to Western medicin...
The problem of attacks on new generation network infrastructures is becoming increasingly relevant, given the widening of the attack surface of thes...
Major software failures are reported to be due to misconfiguration. As manual configuration is too error-prone to be deemed a reliable strategy for ...
Cloud servers use accelerators for common tasks (e.g., encryption, compression, hashing) to improve CPU/GPU efficiency and overall performance. Howe...
Conventional medical artificial intelligence (AI) models face barriers in clinical application and ethical issues owing to their inability to handle...
The notion of synthetic molecular communication (MC) refers to the transmission of information via molecules and is largely foreseen for use within ...
The study focuses on developing a digital twin testbed tailored for public safety technologies, incorporating simulated wireless communication withi...
Algorithmic intermediaries govern the digital public sphere through their architectures, amplification algorithms, and moderation practices. In doin...
Private deep neural network (DNN) inference based on secure two-party computation (2PC) enables secure privacy protection for both the server and th...