Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Stochastic gradient descent (SGD), one of the most fundamental optimization algorithms in machine learning (ML), can be recast through a continuous-time approximation as a Fokker-Planck equation for Langevin dynamics, a viewpoint that has motivated many theoretical studies. Within this framework, we study the relationship between the quasi-stationary distribution derived from this equation and the initial distribution through the Kullback-Leibler (KL) divergence.
With the increasing interest in glamping, the demand for more functional camping cookware has grown, driving innovation in its design. This study aims to explore innovative solutions for camping cookware, and establishes a systematic product conceptual design process through the integration of artificial intelligence-generated content (AIGC) and appropriate data analysis tools.
By November 2025, a review in Molecular Biomedicine synthesized multi-omics strategies integrating genomics, transcriptomics, proteomics and metabolomics, with emphasis on machine learning and deep learning for horizontal and vertical integration, including single-cell and spatial technologies.
This peer-reviewed review examines computer-based image analysis including AI for quantifying interstitial lung disease on high-resolution CT in patients with inflammatory rheumatic disorders, a population where ILD drives morbidity and mortality.
Published 19 November 2025, this peer-reviewed review in Administrative Sciences consolidates recent literature on technology-driven change in human resource management. It examines AI, automation and data analytics as drivers and assesses their impact on talent acquisition, development and retention and on organizational design.
Published November 11, 2025, this peer-reviewed paper examines how AI, RPA, blockchain, and immersive technologies are redefining strategic human resource management. Drawing on a systematic literature review, institutional reports, and illustrative cases from IBM, Walmart, Unilever, and UiPath, it argues human capital has shifted from passive input to strategic enabler and proposes a conceptual model linking emerging technologies, SHRM practices, and competitiveness.
A Viewpoint published April 23, 2024 in The Lancet Digital Health examines ethical and regulatory challenges of large language models in medicine, arguing their architecture and emergent abilities set them apart from prior AI and NLP tools.
Published April 8 2024, this peer-reviewed scoping review examines how AI is being adopted in recruitment and selection to enhance HR efficiency, and how that adoption raises concerns about algorithmic decision-making for job seekers.
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