Results 131 to 140 of about 9,063 (216)

Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles

Advanced Intelligent Systems, EarlyView.
A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin, Lei Cai, Yilang Luo, Ming Yue, Hsin Guan   +4 more
wiley   +1 more source

Reverse Haptic Alerting: Human‐Centered Intelligent Systems That Turn Chemical and Biomedical Signals Into Felt Cues

Advanced Intelligent Systems, EarlyView.
Wearable sensors usually warn through sight or sound, channels that become unreliable under protective equipment or in noise. Reverse haptic alerting inverts this flow: Stimuli‐responsive materials convert chemical and biological signals into cues felt through the skin, while a machine‐learned digital twin of tactile perception personalizes the body ...
Hwanhee Yoo, Shin Hum Cho, Ku Kang, Yoon Jeong Jang, Chan‐Mo Yang, Doo‐Hee Lee   +5 more
wiley   +1 more source

A Backdrivable Impedance‐Controlled Wrist for Safe and Measurable Canopy Interaction in Robotic Apple Harvesting

Advanced Intelligent Systems, EarlyView.
Dense apple canopies make contact unavoidable, and human pickers handle it by letting the wrist give. A compact backdrivable wrist brings the same compliance to a harvesting robot, deflecting on contact and estimating the interaction torque from motor current alone.
Ali Yasar, Dilshan Ranasinghe, Ayham Ahmed, Andrew, Edric Lay, Shao Liu, Chao Chen   +6 more
wiley   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 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

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 Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
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

Artificial Intelligence for Benign Esophageal Stricture Dilation: An Evidence‐Transferability Framework and Safety‐First Roadmap

AI &Innovation, EarlyView.
ABSTRACT Background Endoscopic dilation is first‐line therapy for symptomatic benign esophageal strictures but remains operator‐dependent. Artificial intelligence (AI) could support assessment, risk stratification, and documentation; however, evidence from adjacent tasks is often mistaken for procedure‐specific validation.
Ahmed A. Salman, Mohamed A. Salman
wiley   +1 more source

Digital Transformation in Higher Education in the AI Era: A Systematic Review of Definitions and Emerging Trends

AI &Innovation, EarlyView.
ABSTRACT Digital transformation (DT) remains inconsistently defined in higher education, particularly as artificial intelligence (AI) introduces new institutional capabilities and responsibilities. This systematic review synthesizes 40 retrievable peer‐reviewed studies published between 2020 and 2025 to examine how DT is defined, which institutional ...
Yufeng Qian, Yi Jin
wiley   +1 more source