Research Radar

Exploring automation bias in human–AI collaboration: a review and implications for explainable AI

Abstract As Artificial Intelligence (AI) becomes increasingly embedded in high-stakes domains such as healthcare, law, and public administration, automation bias (AB)—the tendency to over-rely on automated recommendations—has eme...

176

Spatial omics at the forefront: emerging technologies, analytical innovations, and clinical applications

132

AI-based decision support systems in Industry 4.0, a review

217

Pinching-Antenna Systems: Architecture Designs, Opportunities, and Outlook

119

Artificial intelligence technologies and entrepreneurship: a hybrid literature review

Plasmonic effect augmented S-scheme mechanism in Ag/Ag2O/C3N5 photocatalyst enables efficient photocatalytic degradation of antibiotics

162

Academic Publication • Published Dec 31, 2025

AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development

302

Academic Publication • Published Dec 31, 2025

Heavy metal contamination and its impact on the food chain: exposure, bioaccumulation, and risk assessment

114

Academic Publication • Published Dec 17, 2025

Optimization with Sparsity-Inducing Penalties

Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. They were first dedicated to linear variable selection but numerous extensions have now emerged such as structured sparsity or kernel selecti...

580

Academic Publication • Published Dec 17, 2025

Kolmogorov-Arnold Networks Meet Science

A major challenge of AI plus science lies in its inherent incompatibility: Today’s AI is primarily based on connectionism, while science depends on symbolism. To bridge the two worlds, we propose a framework to seamlessly synergize Kolmogorov-Arno...

306

Academic Publication • Published Dec 15, 2025

Past, present and future of AI in marketing and knowledge management

Purpose This paper aims to explore the intersection of artificial intelligence (AI) and marketing within the context of knowledge management (KM). It investigates how AI technologies facilitate data-driven decision-making, enha...

Academic Publication • Published Dec 12, 2025

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Background: Retrieval-augmented generation (RAG) aims to reduce hallucinations and outdated knowledge by grounding LLM outputs in retrieved evidence, but empirical results are scattered across tasks, systems, and metrics, limiting cumulative insig...

Academic Publication • Published Dec 9, 2025

Accuracy, precision, recall, f1-score, or MCC? empirical evidence from advanced statistics, ML, and XAI for evaluating business predictive models

Academic Publication • Published Dec 2, 2025

The impacts of Fintech adoption, green finance and competitiveness on banks’ sustainable performance: digital transformation as moderator

Purpose The global emphasis on sustainability is driving organizations to embrace financial technology (Fintech) solutions as a means of enhancing their sustainable performance. This study seeks to unveil the intermediary role ...

Challenges and opportunities for artificial intelligence in auditing: Evidence from the field

191

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

102

🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Abstract While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to exhibit hallucinations: LLMs occasionally generat...

273

Pre-strain and release in MOF catalysts: Ligand-engineered strain storage for enhanced catalytic activity

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

228

A DNA language model based on multispecies alignment predicts the effects of genome-wide variants

109