In the rapidly evolving landscape of robotics and artificial intelligence, a groundbreaking study has emerged that promises to revolutionize the way unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) operate in tandem. The research,
AI-Powered Teaming Boosts UAV-UGV Mission Success Read More »
In the rapidly evolving landscape of artificial intelligence and machine learning, multi-agent reinforcement learning (MARL) has emerged as a critical area of research, particularly for its applications in defence and security. A recent study by rese
Revolutionizing Defence: Distributed MARL Framework Advances Autonomous Systems Read More »
In a comprehensive review published in the Journal of Materials Science, researchers Pedram Yousefian, Betul Akkopru-Akgun, Clive A. Randall, and Susan Trolier-McKinstry delve into the intricate world of dielectric and piezoelectric oxides, shedding
Unveiling Oxide Secrets: Boosting Defence Tech Reliability Read More »
Australia has emerged as a global leader in artificial intelligence (AI) governance, particularly in the realms of security and defence. The nation’s strategic approach to AI development and deployment underscores its commitment to maintaining robust
Australia Leads AI Governance in Defence and Security Read More »
In the rapidly evolving landscape of military technology, the integration of small robots into ground combat operations has emerged as a critical area of research. A recent survey conducted by Stuart Young and Alexander Kott delves into the complexit
In the rapidly evolving landscape of artificial intelligence and machine learning, researchers are constantly seeking innovative ways to improve the capabilities of AI agents. A recent study, titled “Learning to Guide Multiple Heterogeneous Actors fr
AI Masters StarCraft II: Training Agents with Human Expertise Read More »
Researchers Qi Liu, Shihua Yuan, and Zirui Li from the School of Mechanical Engineering at the University of Science and Technology Beijing have published a comprehensive survey on sensor technologies for unmanned ground vehicles (UGVs), highlighting
Bernard J. Koch and David Peterson, researchers at the intersection of artificial intelligence and computational social science, have published a provocative study that traces the evolution of AI research from its foundational era to the present day.
AI’s Evolution: Benchmarking’s Double-Edged Sword Read More »
Researchers from the US Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory have developed a novel framework that enables unmanned ground vehicles (UGVs) to learn and adapt to new environments with minimal human supervision
US Army’s AI Framework Boosts UGV Adaptability in Harsh Terrains Read More »
Sinan Arda, a researcher at the intersection of technology policy and geopolitics, has introduced a comprehensive taxonomy for assessing the (geo)political risks posed by artificial intelligence. His work, titled *Taxonomy to Regulation: A (Geo)Polit
Arda’s AI Risk Taxonomy Challenges EU Act’s Effectiveness Read More »
