Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Sophisticated algorithms whose inner workings can be opaque make these predictions, so the lack of an uncertainty measure becomes an even greater problem when machine learning is involved.

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Learn about types of machine learning and take inspiration from seven real world examples and eight examples directly applied to SEO.

When machine learning algorithms are fed a steady stream of real-time data, they can quickly detect bottlenecks, anomalies and other operational inefficiencies.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Then, they use this dataset to train a machine learning algorithm that learns to predict a substance’s chemical identity from its spectrum.

The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers – harnessed to algorithms refined over the past decade – are driving an explosion ...