Intelligent systems such as technologies related to artificial intelligence, robotics, machine
learning, etc. open new insights into data and expand the concept of work in myriad …

The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

Industry 4.0 focuses on the realization of smart manufacturing based on cyber-physical
systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and …

Very recently, intensive discussions and studies on Industry 5.0 have sprung up and caused
the attention of researchers, entrepreneurs, and policymakers from various sectors around …

Artificial intelligence (AI)'s rapid development has produced a variety of state-of-the-art
models and methods that rely on network architectures and features engineering. However …

Foundation models are used to train a broad system of general data to build adaptations to
new bottlenecks. Typically, they contain hundreds of billions of hyperparameters that have …

This is the brief report of the first IEEE Distributed/Decentralized Hybrid Workshop on Future
Directions of Intelligent Vehicles (IEEE DHW-FDIV), part of the IEEE Distributed …

Social media data has become crucial to the advancement of scientific understanding.
However, even though it has become ubiquitous, just collecting large-scale social media …

Human drivers instinctively reason with commonsense knowledge to predict hazards in
unfamiliar scenarios and to understand the intentions of other road users. However, this …

Throughout history, scholars and laypeople alike have believed that our words contain
subtle clues about what we are like as people, psychologically speaking. However, the ways …