Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
Advanced Intelligent Systems, EarlyView.The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Exploring the Effects of Serious Games (Immersive Virtual Reality Versus Web-Based Platforms) on Interprofessional Education Among Undergraduate Health Care Students: Randomized Controlled Trial and Multimethod Study. [PDF]
JMIR Serious GamesLiu JYW +6 more
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.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
Recentring Student Learning Within Professionalism Assessment: The Role of Structured Reflection in UK Medical Education. [PDF]
Clin TeachSalehin Z, O'Keeffe C.
europepmc +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced Intelligent Systems, EarlyView.Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Advanced Intelligent Systems, EarlyView.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
AI‐Based Immortality: The Ethical Advantage of the Aretai Approach
AI &Innovation, EarlyView.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
Eye Tracking and AI-Generated Content: A Systematic Literature Review of Visual Attention, Cognitive Processing, and User Engagement. [PDF]
J Eye Mov ResResulbegoviq H +3 more
europepmc +1 more source
Responsible Artificial Intelligence in Courts: A Four‐Test Framework
AI &Innovation, EarlyView.ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley +1 more source
How generative AI shapes designers' cultural heritage revitalization intention: process and content cues in AI-assisted cultural heritage design. [PDF]
Front PsycholLiu C, Cang P.
europepmc +1 more source