Undue Burden on Broker-Dealers + Misalignment of SEC Resources: Total private-sector compliance expenditures to report CAT ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Google Cloud has expanded its enterprise cybersecurity push with AI Threat Defense, as the market shifts towards AI-native threat detection, contextual triage, and supervised remediation. The launch ...

Abstract: Lithium-ion batteries, which store energy, can experience thermal runaway and capacity degradation. A hybrid deep learning architecture integrates LSTM, GRU, and RNN autoencoders with ...

The action director Renny Harlin combines two different kinds of disaster movies, with lots of gory shark scenes. By Glenn Kenny When you purchase a ticket for an independently reviewed film through ...

Anomaly detection system using unsupervised learning to identify unusual network traffic patterns. network-anomaly-detection/ ├── README.md ├── requirements.txt ├── LICENSE ├── main.py ├── config.json ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...