In industries, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...

Abstract: Object detection based on deep learning is a popular trend, and it includes object recognition and positioning. This paper proposes a method that can accurately obtain object type and ...

This agentic deep security ... native data pipelines of SentinelOne’s AI SIEM. This results in a vast and unique data set that is continuously tuned, refined and optimized using a closed ...

Christopher Sweet was introduced to HUD employees as being originally from San Francisco and most recently a third-year at the University of Chicago, where he was studying economics and data ...

To alleviate that, this paper proposes a weakly supervised deep learning-based cloud detection method using only block-level labels, with a new global convolutional pooling operation and a local ...

House Speaker Mike Johnson, R-La., has two main jobs in funding President Donald Trump’s regressive agenda: setting deadlines and counting votes. He has yet to prove he’s particularly adept at ...

A number of suspicious objects have been taken away for forensic ... tactical support officers – had arrived at the tower block at around 9.45am to conduct the raid. It’s understood Army ...

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training ... tuning and data augmentation for optimal ...

Many institutions were ranked in both, using some overlapping nursing school data that applies to both the master's and DNP programs involving research grants and faculty counts. Schools were ...

Second-wave AI programs – largely referred to as machine learning programs – recognise and learn from statistical patterns in complex data sets. Now the Third Wave of AI uses ‘contextual ...