A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Abstract: This paper investigates an unmanned aerial vehicle (UAV) assisted semantic network where the ground users (GUs) periodically capture and upload the sensing information to a base station (BS) ...

Short fiber reinforcement has been used in elastomeric and thermoplastic compounds to enhance properties, yet the underlying science is often misunderstood; the authors provide an overview of the ...

Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...

Causal Reinforcement Learning (CRL) is a suite of algorithms, embedding causal knowledge into RL for more efficient and effective model learning, policy evaluation, or policy optimization. How ...

Expert DIYer April Wilkerson teaches welding basics while building a sturdy truck bed plywood rack. Russia responds to Trump sanctions threat New York Times report reveals unsuccessful SEAL Team 6 ...

Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...

Abstract: Focused on the scientific issues of collision avoidance and compliant operation of physical human-robot interaction (pHRI) systems, this paper proposes a reinforcement learning (RL) strategy ...