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

How Machine Learning Boosts Healthcare Cybersecurity We regularly apply ML algorithms in our software development projects and, specifically, in healthcare projects.

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

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.

Machine learning has revolutionized the field of biomedical research, enabling faster and more accurate development of algorithms that can improve healthcare outcomes.

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model.