Risk-based quality management (RBQM ... by the use of technologies such as artificial intelligence (AI). Machine learning (ML) uses computer algorithms to achieve AI, i.e., a computer learning ...

Of course, manufacturers have been using machine vision in quality applications for many years now. But the addition of deep learning-enabled quality control software represents a departure from ...

A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

Rosen teamed up with his three co-founders to develop Brellium to help medical clinics automate their chart review to meet clinical quality and ... chronic care management and primary care.

“This first-of-its-kind use of machine learning to eliminate superfluous quality tests has wide ranging implications for manufacturing efficiency and a shorter product manufacturing lifecycle ...

Global spending on smart, connected agricultural technologies and systems, including AI and machine learning ... AI and machine learning to improve agricultural yields and quality.