Northwestern's McCormick School of Engineering

Multi-Institution Team Wins Two Awards at AAAI-26 Workshops

First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.
Frontiers

Challenges in Integrating Heterogeneous Biomedical Data for Precision Medicine: AI Models and Applications

This Research Topic focuses on using artificial intelligence (AI) to combine and analyze diverse biomedical data types to improve the performance and ...
Tech Xplore

New ensemble AI model enhances cyber intrusion detection with high accuracy

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection ...
AZoOptics

AI-Enhanced Optical Spectroscopy for On-Line Food Quality Monitoring

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
InfoQ

Google Publishes Scaling Principles for Agentic Architectures

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...
IEEE

Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...