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, ...

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...

Standing still is the same as going backwards.’ Here’s how the best security engineers keep on top of the latest risks and ...

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 ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

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 ...

BCC Research examines how AI is streamlining patient recruitment, optimizing trial design, enabling remote monitoring and improving data quality across decentralized clinical trials.”Boston, July 01, ...

Old-school security playbooks can't handle AI glitches, so companies need a fresh approach to catch model errors and legal ...

The T-Finance and T-Social datasets developed in the paper are on google drive. Download and unzip all files in the dataset folder. plot.zip in the above link is used to reproduce Figure 1 and 2 in ...