Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

Abstract: In this letter, a novel anomaly detection framework with transferred deep convolutional neural network (CNN) is proposed. The framework is designed by considering the following facts: 1) a ...

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...

By Dr. Richmond Atuahene1.0 Introduction/ BackgroundGlobalization and digitization are two major trends that will shape the future of nations. Despite the many challenges associated with adapting to ...