Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

The engineering landscape is undergoing a transformation, and B.Tech aspirants must align their choices with tomorrow’s needs ...

It has now been a year since I stepped into the role of co-Editor-in-Chief of the International Journal of Wildland Fire ...

In an era dominated by data, both Data Science and Economics offer powerful pathways—but through vastly different lenses. While data scientists harness algorithms to forecast and automate, economists ...

The modern enterprise analytics landscape resembles a bustling financial district at rush hour—valuable data moving at ...

As the United States moves beyond the first months of the second Trump Administration, artificial intelligence has emerged as ...

A survey of 23 machine learning (ML) practitioners across the U.K. and other parts of the world, conducted by King's College ...

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 ...