A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...

Implementing AI and machine learning solutions for detecting railroad trespassers offers substantial benefits, with ...

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

While childcare is my area of expertise, managing "The Learning Curve" is applicable to many industries. It starts with ...

Griffith researchers built and tested a digital archaeology framework to learn more about the ancient humans who created one ...

Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...

EZ Eye's algorithmic technology reduces manual image grading by 97% while maintaining 96% accuracy for automated quality ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Xiangyu Li and Shaodong Zhang at the University of Tennessee, Knoxville developed a machine learning-assisted model to ...