Are you obsessed with models, fascinated by deep learning, and excited by the idea of designing AI systems that actually matter? We’re looking for a Senior Data Scientist to help build advanced vision ...

The rapid evolution of large language models is transforming industries, catalyzing advances in content generation, search, ...

Abstract: Despite the prevalence of reconstruction-based deep learning methods, time-series anomaly detection (TSAD) remains a tremendous challenge. Existing approaches often struggle with limited ...

Cybersecurity researchers have discovered a self-propagating worm that spreads via Visual Studio Code (VS Code) extensions on the Open VSX Registry and the Microsoft Extension Marketplace, ...

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Pipeline 1 (VAE - Scenario Generation): •⁠ ⁠Input: ⁠ macro_features.csv ⁠ (FRED + Market) •⁠ ⁠Purpose: Generate stress test scenarios •⁠ ⁠Shape ...

Abstract: Autoencoder (AE) is extensively utilized in Hyperspectral anomaly detection (HAD) tasks owing to the robust feature extraction and image reconstruction capabilities. However, AE lacks ...

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...