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 ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Understanding how molecules interact with metal surfaces is fundamental to catalysis and surface chemistry. However, traditional computational methods face a trade-off: achieving high accuracy often ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

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

Researchers developed a blood test that spots ALS with 90% accuracy. The 46-gene panel could cut diagnostic delays that now ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Abstract: The focus of this research is to develop a learning-based method that computes self-motion manifolds (SMMs) efficiently and accurately to enable real-time global fault-tolerant motion ...

Like its predecessor, “Wicked: For Good” more than doubles the runtime of Act II of the Broadway musical that inspired it. But unlike the first “Wicked” film, the sequel makes big additions to the ...