GitHub

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
Morningstar

CrowdStrike Announces the General Availability of Falcon AI Detection and Response to Secure the New AI Attack Surface

CrowdStrike (NASDAQ: CRWD) today announced the general availability of Falcon® AI Detection and Response (AIDR), extending the Falcon® platform to secure the fastest-growing attack surface in the AI ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
GitHub

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for benchmarking, developing and deploying deep learning anomaly detection algorithms.
TechSpot

YouTube launches AI detection tool to spot deepfakes using creators' faces and voices

The takeaway: The new system positions YouTube among the first major online platforms to embed large-scale identity-protection capabilities directly into its content moderation tools. The feature ...
Houston Chronicle

Some Texas National Guard troops sent home after unflattering photos surface

Several of the Texas National Guard troops sent to Illinois are already heading back to Texas amid mockery online of their physical appearance. Defense Secretary Pete Hegseth addressed reports of ...
Jane's Information Group

REPMUS 25: Deep Trekker integrates mine disruption and detection systems

Deep Trekker Revolution ROV at Exercise ‘Dynamic Messenger/REPMUS 25'. The Viper mine disruption system is deployed underneath the front of the ROV. (Janes/Neil Dee) Canadian remotely operated vehicle ...
C&EN

Rapid Detection of Perfluorooctanesulfonic Acid Using Surface-Enhanced Raman Spectroscopy and Deep Learning

Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States Institute for Quantitative Health Science and Engineering, Michigan State ...
IEEE

Deep Learning-Based Autonomous Anomaly Detection for Security in SDN-IoT Networks

Abstract: Converging Software-Defined Networking (SDN) and the Internet of Things (IoT) has directed innovative network architectures and applications. However, this fusion exposes security ...
IEEE

A Multi-Category Anomaly Editing Network with Correlation Exploration and Voxel-level Attention for Unsupervised Surface Anomaly Detection

Abstract: Developing a unified model for surface anomaly detection remains challenging due to significant variations across product categories. Recent feature editing methods, as a branch of image ...
Frontiers

Intervertebral disc anomaly intelligent classification system based on deep learning, IDAICS

1 Department of Orthopaedics, The First Affiliated Hospital of Soochow University, Suzhou, China 2 Department of Otorhinolaryngology, The First Affiliated Hospital of Soochow University, Suzhou, China ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...