What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

Abstract: The increasing adoption of DC microgrids in renewable energy systems, electric vehicles, and industrial applications has heightened concerns regarding electrical safety. Arc faults pose ...

View post: Mercedes Electric Cars Vanished From the US Last Year and Are Now Returning Finding and fixing vacuum leaks in a vehicle can be one of the most frustrating and time-consuming parts of ...

Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume ...

Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...

For any company using software, there is often a difficult balance between patching systems as quickly as possible to prevent cyberattacks while also making sure the updates don’t break how those ...

GenAI and ML workloads are causing a ramp up in silent data corruption. Multi-stage detection with on-chip, AI-based telemetry offers smarter fault prevention. As transistor geometries shrink and ...

Abstract: Global Navigation Satellite Systems (GNSS) are integral to numerous modern technologies, yet their positioning accuracy is frequently degraded by Non-Line-of-Sight (NLOS) errors. These ...

Objective: This study explores the feasibility of using breathomic biomarkers analyzed by machine learning as a non-invasive diagnostic tool to differentiate between benign and malignant thoracic ...

AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...