Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Wearables data predicts patient engagement by improving models that forecast COPD patients' adherence to home pulmonary rehabilitation programs.

The death of an Ottawa man who waited for home care that never came is raising concerns that others might also be falling ...

Overview:  Data science projects are driving innovation across industries like healthcare, finance, and climate science.AI ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

The synergy between manufacturing execution systems (MES) and industrial data platforms is redefining efficiency and decision-making. Critical Manufacturing's CEO Francisco Almada Lobo explains how ...

Success in Formula One isn’t just about the driver—it’s also about the performance of the technical team. Not long ago, teams could only learn what was happening under the hood during a pit stop.