Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

In addition, the proposed network also uses a heterogeneous data fusion module to use external information. Second, an adaptive detection strategy is devised for converting the prediction errors into ...

The browser is now the frontline for cyberattacks. From phishing kits and ClickFix lures to malicious OAuth apps and ...

The Pulse-Fi system is highly accurate, achieving clinical-level heart rate monitoring with ultra low-cost WiFi devices, making it useful for low resource settings. The system works with the person in ...

Riverlane’s Vision for Quantum Error Correction The Critical Role of Quantum Error Correction Quantum computers hold incredible ...

Explore Network Anomaly Detection Project 📊💻. It achieves an exceptional 99.7% accuracy through a blend of supervised and unsupervised learning, extensive feature selection, and model ...

Anomaly detection in network traffic is one of the key techniques to ensure security in future networks. Today, the importance of this topic is even higher, since the network traffic is growing and ...

UCSB's Arpit Gupta has earned two major Google awards for his work developing low-cost AI network models, paving the way for more accessible, “self-driving” networks.

Netflix has developed an automated quality control (QC) method to detect pixel-level artefacts in videos. Designed to reduce the need for manual review, the solution identifies bright spots known as ...