We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...

With the ongoing era of digitization and the ability to bring together huge data sets, there is enormous potential for many industries and business functions to take advantage of their “big data” sets ...

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

As data volumes surge across every industry and machine learning tools become more accessible, predictive analytics is evolving from a niche discipline into a cornerstone of application innovation.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

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 ...

Scientists are using machine learning to find new treatments among thousands of old medicines.

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...

Using the well-studied glycine and benzene molecules to test the technique, the team correctly predicted the stable polymorphs of these two compounds using fairly modest computational resources.

Want to move beyond break-fix maintenance but unsure where to start? Advancements in AI, machine learning, and data analytics have made predictive maintenance more accessible and effective than ever.