Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
Abstract: Detection of abnormalities is important for the security and reliability of computer systems as they heavily rely on logs to detect anomalies. The logs provide general information, errors, ...
EchoGuard is a research-driven project focused on machine audio anomaly detection using unsupervised learning and signal processing techniques. Rather than treating anomaly detection as a black-box ...
Demonstrating academic excellence and a strong interest in AI-related domains, seven students of Computer Science Engineering ...
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 ...
While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...
Explore the 2026 Agent Confidence Index from MIT Technology Review Insights and Microsoft. New global research shows and how ...
This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...
BCC Research examines how AI is streamlining patient recruitment, optimizing trial design, enabling remote monitoring and ...
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