You will work as a Data Scientist in the Predictive Maintenance team. This hybrid and multi-cultural team have Data scientists, Data Engineers, a DevOps engineer, a QA engineer, an Architect, an UX ...

Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat ...

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...

A team of ten undergraduates from Asia Pacific University of Technology & Innovation (APU) was named Global Champion of the Industry Energy Track at the SAS Hackathon 2025.

WASHINGTON — A United Launch Alliance Vulcan Centaur rocket lifted off early Feb. 12 on a multi-manifest national security mission, sending payloads directly to geosynchronous orbit more than 22,000 ...

Horror games are one of the best genres on Roblox, but the amount of jumpscares Scary Shawarma Kiosk the Anomaly brings is amazing. The game lets you run a shawarma shop while finding anomalies and ...

network-intrusion-detection-system/ ├── src/ │ ├── __init__.py │ ├── nids_engine.py # Core NIDS engine │ ├── packet_processor.py ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

Abstract: In the domain of image anomaly detection, significant progress has been made in unsupervised and self-supervised methods with datasets containing only normal samples. Although these methods ...

Generative artificial intelligence has set off a tremendous amount of excitement, speculation, and anxiety thanks to its ability to convincingly mimic human work, including human writing. Although a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...