As organizations continue to move their systems to the cloud, they face a tough question: How do you keep an eye on ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

Armed police handcuffed and searched a student at a high school in Baltimore County, Maryland, this week after an AI-driven security system flagged the teen’s empty bag of chips as a possible firearm.

Satellite data reveal that a weak region in Earth's magnetic field has grown by an area roughly half the size of continental Europe in the last 10 years. When you purchase through links on our site, ...

All the Latest Game Footage and Images from Anomaly Evolution Are you ready to uncover SCP-682’s ultimate form? In Anomaly Evolution, evolve SCP-682, SCP-1471, and SCP-999 from mere anomalies into ...

The South Atlantic Anomaly, a huge weak spot in the geomagnetic field off South America, has expanded and sprouted a lobe in the direction of Africa over the past decade. When you purchase through ...

Abstract: Video anomaly detection (VAD) is of great importance for a variety of real-time applications in video surveillance. Most deep learning-based anomaly detection algorithms adopt a one-class ...

WASHINGTON — True Anomaly, a defense-focused space technology startup based in Colorado, hired satellite industry executive Sarah Walter as chief operating officer, the company announced Sept. 2. The ...

Abstract: We propose a self-supervised framework that combines an autoencoder and segmentation model to enhance anomaly detection and segmentation by inserting synthetic anomalies into the foreground ...