These days, online slot platforms face a steady problem with scaling. At any moment, they might be running hundreds of games, ...

AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...

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

Abstract: Weakly supervised video anomaly detection is a challenging problem due to the lack of frame-level labels in training videos. Most previous works typically tackle this task with the multiple ...

Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...

Semi-supervised Pseudo Labeler Anomaly Detection with Ensembling (SPADE) is a semi-supervised anomaly detection method that uses an ensemble of one class classifiers as the pseudo-labelers and ...

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 ...

When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...

The brain's cerebellum doesn't waste energy analyzing every moment. Instead, it constantly monitors the world for the ...

Prediction markets and a move toward AI forecasting are starting to put the accuracy of weather predictions at risk. Here’s ...

The brain uses visual cues to coordinate muscle movement. When motor commands and sensory feedback are out of alignment, ...

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...