artificial intelligence

Why Large Language Models will Never be Embodied: A Categorical, Not Engineering, Impossibility

A persistent ambition in artificial intelligence research holds that large language models (LLMs) will eventually become embodied—through attachment to robots, augmentation with multimodal sensors, integration into vision–language–action architectures, or sheer scale until grounding emerges from training data. This amb...

Artificial Intelligence and Machine Learning for Stock Market Prediction: A Systematic Literature Review of Methods, Emerging Paradigms, Reproducibility, and Evaluation Gaps (2016-2026)

Multimodal wearable biosensors in sports: integrating physical and chemical sensing for performance and health

Wearable technologies have emerged as essential tools for monitoring athletes’ performance and physiological states in real time. This review systematically examines advances in biosensing and wearable systems for sports applications, highlighting their design, sensing modalities, and integration strategies. Athlete tr...

From office to living room: linking AI awareness and career sustainability from a work–family boundary perspective

Purpose Drawing upon work–family boundary theory and the significance of employees career sustainability amid widespread artificial intelligence (AI) adoption, this study examines the impact of AI awareness on two indicators of career sustainability (i.e. well-being and productivity) via work–family conflict and the mo...

State Determination of Raw Material and Finished Product Inside a Press Lower Mold Using AI

This study presents a You Only Look Once version 8 (YOLOv8) segmentation-based method for determining whether raw materials are correctly inserted into the lower mold of a press, whether a finished product remains in the mold, and whether the raw materials overlap the finished product. An endoscopic camera was fixed at...

Precision Medicine Meets Sports Analytics: Promise, Pitfalls, and Lessons from the Field

In recent years, the emergence of systemic data collection of modern sports has allowed organizations to adopt more data-driven approaches in analyzing sports. Indeed, the wave of popularization of sports analytics, sometimes called statistics in sports, has touched on almost every aspect of the athletic world. Drawing...

Research Trends and Innovations

The field of soilless agriculture is in a state of perpetual evolution, driven by a convergence of horticultural science, engineering, and information technology. It is a sector defined not by tradition, but by a relentless pursuit of innovation to solve some of the most pressing challenges in modern food production. A...

Multi-objective optimized signal decomposition with explainable and reliable hybrid models for multistep significant wave height forecasting in ocean wave energy applications

Accurate forecasting of significant wave height (Hs) is vital for marine safety, coastal engineering, and renewable energy production. This study presents an effective integrated model system to forecast Hs for two distinct sites in Australia, Gladstone and Palm Beach, over various time horizons from 30-min to 24-h ahe...

Technology-mediated emergence of a competing logic in a mature field: The case of Bitcoin

Emerging technologies, such as blockchain and artificial intelligence, are enabling new configurations of practices, roles, and meaning systems within mature fields that can disrupt institutionalized field arrangements and alter the centrality of institutional logics. Given the growing significance of this phenomenon,...

AI use and risk disclosure by investment advisers

Introduction Investment advisers increasingly report using artificial intelligence (AI), but little is known about what they disclose about it in fiduciary filings. The SEC brought its first AI-washing enforcement actions in 2024, so regulators and researchers need a reproducible measure of AI disclosure. We provide la...

Toward Healthcare System Digital Mission Engineering: A Multilevel Health Informatics Framework for AI Integration, Demonstrated Through Cardiovascular Risk Management

Artificial intelligence increasingly operates within interconnected healthcare information systems, but governance remains model-centered and weakly tied to institutional mission. Healthcare System Digital Mission Engineering (HSDME) adapts digital mission engineering to treat the mission, rather than an application or...

Can Technological Civilization Reproduce Itself? Artificial Intelligence, Human Knowledge, and the Reproductive Capacity of Civilization

Modern civilization measures technological progress primarily by capability: what can be produced, computed, transported, cured, constructed, communicated, or automated. This paper argues that long-term technological resilience requires a second criterion: reproductive capacity — whether successive generations retain c...