Results 111 to 120 of about 210,846 (214)
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
Examining antecedents of parents' privacy concerns and mindful sharenting behaviors: through a lens of protection motivation theory. [PDF]
Youn S, Peng Z.
europepmc +1 more source
From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation
Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka +13 more
wiley +1 more source
Infant Feeding Apps and Digital Parenting in Australia: Qualitative Study. [PDF]
Arabiat D, See H, Whitehead L.
europepmc +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
Warmth and competence in affective companion virtual humans: differential effects on behavioral intention via hedonic benefits. [PDF]
Zhang T.
europepmc +1 more source
AI‐Based Immortality: The Ethical Advantage of the Aretai Approach
ABSTRACT The convergence of artificial intelligence, digital identity technologies, and biogerontological ambitions has produced a novel set of philosophical problems that have not yet been adequately addressed within mainstream bioethical discourse. Digital life extension—encompassing AI‐generated avatars, neural data preservation, mind uploading, and
Mirko Daniel Garasic
wiley +1 more source
AI Dependence as a Longitudinal Governance Problem
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley +1 more source

