The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...
Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
An "independent" advisory panel of non-federal experts determining which preventative healthcare services insurers must cover is accused of being staffed with doctors who have shown a propensity to ...
Background: Major depressive disorder (MDD) in adolescents poses an increasing global health concern, yet current screening practices rely heavily on subjective reports. Virtual reality (VR), ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Abstract: With the growing awareness of sustainability concerns in many application domains, energy-harvesting (EH) devices are increasingly being used with traditional non-energy-harvesting (non-EH) ...
Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...
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