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

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples.

Google is borrowing from Darwin to make a seismic leap in automatic machine learning. It could spell out the end of most human bias.

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 ...

Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning.

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

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

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 ...