Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
IEEE

Adaptive Detection of Advanced Persistent Threats (APT) With Graph Neural Networks and Rehearsal-Based Continual Learning on Wazuh EDR Telemetry

Abstract: In the rapidly evolving cybersecurity landscape, Advanced Persistent Threats (APTs) pose major challenges due to their stealthy and adaptive behavior. Traditional detection methods based on ...
IEEE

Machine Learning to Predict EMI Radiation and Optimize the Structure of Pinmap Packages

Abstract: With the rapid increase in integrated circuit chip frequencies, the complexity of electromagnetic interference issues and the time-consuming nature of traditional pin mapping (pinmap) design ...