Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
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 ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Demonstrating academic excellence and a strong interest in AI-related domains, seven students of Computer Science Engineering ...
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Combating mobile money/digital fraud in Ghana: Strategies for securing digital payments
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 ...
Google Cloud has expanded its enterprise cybersecurity push with AI Threat Defense, as the market shifts towards AI-native threat detection, contextual triage, and supervised remediation. The launch ...
ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
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