A team of researchers at NYU Tandon School of Engineering has developed a novel method to detect hidden GPS tracking devices ...

Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain ...

Affiliate Content. Discover why some New York students are using AI detectors before submitting assignments to avoid being ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

The cornerstone of this approach is an autoencoder-based anomaly detection system.” Autoencoders, a specialized type of neural network, are designed for unsupervised learning tasks. The system, fed ...

The basic theory of YOLO series object detection algorithms is discussed, the dangerous driving behavior dataset is collected and produced, and then the YOLOv7 network is introduced in detail, the ...

Abstract: This paper presents an innovative guide for optimizing autoencoder performance, specifically targeting anomaly detection tasks. In addressing prevalent issues in deep learning algorithms, ...

In the context of anomaly detection, an autoencoder is trained to reconstruct input data accurately. Anomalies, being deviations from the learned patterns, result in higher reconstruction errors. By ...