AI

In the rapidly evolving landscape of robotics, the principles of open access and innovation have long been celebrated for their ability to foster collaboration, lower barriers to entry, and accelerate technological advancements. However, a recent stu

In a groundbreaking study, researchers have uncovered a novel cyber-attack vector that poses a significant threat to Industrial Control Systems (ICS), particularly water treatment facilities. The research, led by Aryan Pasikhani, Prosanta Gope, Yang

In the rapidly evolving landscape of wireless communication, spectrum sharing has emerged as a critical strategy to meet the ever-growing demands of commercial wireless services. However, the coexistence of these services with incumbent systems, part

The rise of generative AI (genAI) technologies is reshaping how we perceive and interpret social realities, including modern warfare. While much of the academic focus has been on the military applications of AI, the growing adoption of genAI is also

In the rapidly evolving landscape of Industry 5.0, the convergence of Information Technology (IT) and Operational Technology (OT) systems is revolutionising industrial operations. However, this integration is also expanding the cyber-physical attack

In a groundbreaking study, researchers have uncovered that large language models (LLMs) exhibit structured chains-of-affective, a dynamic interplay of emotional responses that significantly influence their behaviour and interactions. This discovery c

In an era where radio frequency (RF) signals are ubiquitous, the ability to identify and classify emitters with precision has become a critical capability for both defence and civilian applications. A recent study by Alex Hiles and Bashar I. Ahmad in

In a groundbreaking study, researcher Mark Burgess explores the intricate relationship between the concept of “attention” in cognitive agents and the promise theory, a framework designed for autonomous systems. This innovative approach bridges the ga

In the realm of underwater acoustic monitoring, the ability to remotely detect and classify targets is paramount for both environmental conservation and defence applications. However, the intricate and often unpredictable nature of underwater noise p

In the rapidly evolving landscape of cybersecurity, traditional machine learning and signature-based defence strategies are increasingly falling short. The sheer volume of data and the sophistication of cyber threats have rendered conventional method