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.
This peer-reviewed review from December 2024 examines federated learning as a decentralized approach for smart healthcare, where institutions collaborate on machine learning without sharing raw patient data, integrated with IoT devices, wearables, and remote monitoring for real-time predictive analytics.
In a December 2024 randomized lab experiment, 117 university students completed a writing task with support from ChatGPT, a human expert, analytics tools, or no extra support. Researchers measured intrinsic motivation, self-regulated learning processes, and performance, finding no motivation differences but different process patterns and higher essay score gains for the ChatGPT group without higher knowledge gain or transfer.
Published January 9 2025 in the British Journal of Biomedical Science, this peer-reviewed review examines how generative AI is being integrated into higher education, noting opportunities for personalised learning and innovative assessment alongside challenges to integrity and equity.
A mixed-method study of 666 participants examined how AI tool usage relates to critical thinking, with cognitive offloading as a mediating factor. By publication on Jan 3 2025, authors reported a significant negative correlation between frequent AI use and critical thinking abilities.
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