The ebook edition of this title is Open Access and freely available to read online. Radio communications are a cornerstone of modern life, reshaping how we connect, work, and interact. In the years ahead, they will drive even greater efficiency in industries, safety in transportation, and sustainability in societies. INTERACT, a COST Action, envisions intelligent radio networks—aware, adaptive, and resource-efficient—to enable seamless and inclusive interactions between people and machines. These networks will serve as the nervous system of smart environments, unlocking new possibilities in transportation, manufacturing, and urban systems. This book provides a comprehensive overview of the latest research in intelligent wireless networks, from broadband to low-power connected devices. It covers essential aspects of next-generation radio design, including propagation, signal processing, localization, sensing, and network orchestration. Special focus is given to breakthrough technologies such as Reconfigurable Intelligent Surfaces (RIS), Integrated Sensing and Communication (ISAC), Artificial Intelligence (AI) based protocols design, Terahertz (THz) communications, and ultra-massive Multiple Input Multiple Output (umMIMO). Written by leading European and international experts, it explores key challenges and opportunities in this rapidly evolving field. Aimed at researchers, PhD students, and professionals in academia and industry, this book will also appeal to engineers and network operators deploying advanced private networks—5G, 6G, and beyond.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...