10 ways machine learning projects fail AI hallucinations Model bias Legal and ethical risks Poor data quality Model overfitting and underfitting Legacy system integration issues Performance and ...

The study of coal mines in China compared 10 machine learning algorithms to see which AI method could make predictions about changes in methane gas levels 30 minutes in advance, and notify users ...

A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

When done right, AI can make your company faster, sharper and more responsive to what your customers need—often before they ...

I am a machine learning researcher. With a team of scientists, I have developed a tool to make identification of microplastics using their unique chemical fingerprint more reliable. We hope that ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

So long as there's sufficient overlap in the model's vocabularies, the rate at which the draft model's predictions are ...

Let's explore how AI and machine learning are changing PPC, and I'll provide actionable advice to help you automate processes for maximum results.

Advancing battery safety: Integrating multiphysics and machine learning for thermal runaway prediction in lithium-ion battery module. Journal of Power Sources, 2024; 614: 235015 DOI: 10.1016/j ...