Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data.

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

The “machine learning-based age estimation model” will try to predict whether a user is under 18 and, if so, apply appropriate age filter settings to their account.

Neural networks and other forms of machine learning ultimately learn by trial and error, one improvement at a time.

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it?

Pritzker School of Molecular Engineering study hopes to use machine learning to boost cancer, immunology research Researchers from the University of Chicago have developed a new method to use machine ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?

Tomorrow.io’s plan is to create a new space-based radar infrastructure with a modern twist. Its satellites are small (only 85 kilograms) and use the Ka-band exclusively.

The use of machine learning has provided a significant boost to the field of materials discovery, and experts are using this advanced technique to discover various types of materials.

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.