It is 2pm, and a seven-year-old boy sits in an after-school Urdu remedial class, his fingers tracing the unfamiliar curves of the words before him. The sentence on the page seems simple enough: “Yeh ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Yan, H.J. and Jin, C. (2025) The Evolution of Library and Information Science in China under the Big Data Paradigm —An Empirical Study Based on Chinese Core Literature. Open Journal of Social Sciences ...

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.

Researchers at The University of Osaka developed a deep learning model for rapid building damage assessment after floods using satellite imagery.

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

The emergence of Industry 5.0 marks a paradigm shift toward human-centric, sustainable, and resilient manufacturing. Unlike ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

DeepMind's AI has made remarkable progress in mathematical reasoning within a span of just one year.  After earning a silver ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

The Evolution of Hair Care in the Digital Age The hair care industry has undergone a remarkable transformation in recent years, evolving from simple cleansing routines to sophisticated regimens ...