Applying the tools of Visualization to this collection, Dr. Paulovich used machine learning to classify all of the pieces of music on a number of different parameters: genre, mood, gender, and ...

What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.

What is machine learning? Karen Hao Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about.

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.

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 ...

Researchers from the McKelvey School of Engineering at Washington University in St. Louis have developed a machine learning algorithm that can create a continuous 3D model of cells from a partial ...

A machine-learning algorithm called CEBRA was developed to learn how high-dimensional data can be embedded in a lower-dimensional space (called a latent space, in latent dimensions), either using ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Machine learning isn’t just something locked up in an academic lab though. Lots of machine learning algorithms are open-source and widely available.