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

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

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

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 ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

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 ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

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 ...

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 ...

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

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