Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

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

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

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

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

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

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

Machine learning and deep learning algorithms have infinite room for growth, and we're sure to see even more practical applications entering the consumer and enterprise markets in the coming decade.