Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Researchers have used machine-learning screening to identify and then experimentally confirm two new superconductors, YRu3B2 ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

The latest generation of AI models are such competent coders, engineers and (soon) scientists that many worry they may be ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...