Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor, ...

In a recent study published in the journal PNAS Nexus, researchers explored using multimodal wearable sensors combined with machine learning to measure real-time fatigue among manufacturing workers.

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines ...