A recent study published in Psychology of Sport & Exercise has found that long-term engagement in competitive athletics is ...

Alex Yang details founding an AI startup with other high schoolers worldwide to improve Alzheimer's diagnostics.

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

PhD graduates in analytical sciences can leverage transferable skills for careers in regulation, publishing, and startups, beyond traditional academia and R&D. Women in chromatography emphasize the ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Integral transforms play a foundational role in applied mathematics, statistics, and theoretical physics, serving as powerful ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.