Robots are starting to gain something that looks a lot like a sense of touch, and in some cases even a crude version of pain.

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

These training opportunities are designed to empower professionals across North American industry. BIRMINGHAM, Ala., Nov. 12, 2025 – Motion Industries, Inc., a leading distributor of maintenance, ...

Motion capture technology is a key enabler for the digitalization of the human body in VR/AR/MR, film production, and sports rehabilitation, and has attracted broad interdisciplinary attention.

State Key Laboratory of Natural Medicines, National R&D Center for Chinese Herbal Medicine Processing, Jiangsu Key Laboratory of Drug Design and Optimization, College of Engineering, China ...

Accepted at ICLR 2025. Please read our paper here: https://openreview.net/pdf?id=k2uUeLCrQq. Abstract: We present RelCon, a novel self-supervised Relative Contrastive ...

K-array has announced the launch of its new online e-learning platform, offering training on K-array products and technologies. The courses allow learners to collect CTS renewal units across a full ...