One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests. Rather, researchers combine readings from seismometers distributed across a ...

Using the Murchison Widefield Array (MWA), astronomers have discovered a new millisecond pulsar as part of the ongoing ...

Modern markerless motion capture does exactly that, using ordinary video cameras and deep learning instead of reflective ...

Abstract: Estimating angles for coherent signals remains a critical challenge in array signal processing. Traditional spatial smoothing techniques can recover the rank loss caused by signal coherence, ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

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, ...

School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine University of Science and Technology of China, Hefei 230026, China Suzhou Institute of Biomedical Engineering and ...

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.