In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

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.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The future of machine learning The future of machine learning is expected to be characterized by continued advances in algorithms, computing power and data availability.

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

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

At its core, algorithmic journalism uses data analysis and machine learning tools to automate parts of news production. These ...

All the latest science news on machine-learning algorithm from Phys.org. Find the latest news, advancements, and breakthroughs.