The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...
Overview Explore cutting-edge AI and quantum-ready encryption projects to strengthen skills in defending against modern ...
Abstract: Accurate and efficient anomaly detection is crucial to ensure the reliability and optimal performance of photovoltaic (PV) systems. However, traditional PV anomaly detection methods struggle ...
Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
A complete end-to-end machine learning system for detecting and classifying anomalies in real-time hydraulic fracturing operations. Built with 13 years of domain expertise from 500+ monitored frac ...
Abstract: In the domain of image anomaly detection, significant progress has been made in un- and self-supervised methods with datasets containing only normal samples. Although these methods perform ...
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
Marjan Gholamalipour is Americas West Program and project management business leader at London-based design and engineering consulting firm Arup. Markus Bernhardt is principal at Walnut Creek, ...
Advanced scanning technology has revealed strange underground anomalies at the site of Egypt’s legendary labyrinth. Scientists confirm massive chambers and unexplained features beneath the surface.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback