We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products ... Thermostats, for example, employ such rules to determine ...

Machine learning ... In unsupervised learning, the algorithm goes through the data itself and tries to come up with meaningful results. The result might be, for example, a set of clusters of ...

Now UK researchers have developed an AI-based machine learning algorithm that is fast and accurate. Named the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome (CoDE-ACS ...

After all, many “traditional” machine learning algorithms have been solving important ... to extract features from video frames, for example for teaching a computer to play video games or ...

In recent years, machine learning ... However, ML algorithms can sometimes produce biased output that may be very unjust and offensive to some individuals. For example, there are even court ...

Learn about types of machine learning and take inspiration from seven real world examples and eight examples ... The goal of machine learning is to develop algorithms that can learn patterns ...

The algorithms that ... sign for a speed-limit sign, for example. But how feasible such a ploy might be in the real world was unclear. Safety-critical machine-learning systems are usually trained ...

Researchers have developed a machine learning ... algorithm could be used to recommend routes which get drivers from point to point in the shortest time without degrading the battery, for example ...