Mapping Financial Contagion: A New Network Approach
Researchers have developed a method to pinpoint the key transmission channels of risk within complex financial systems by analyzing how shocks propagate through the network.
Researchers have developed a method to pinpoint the key transmission channels of risk within complex financial systems by analyzing how shocks propagate through the network.

A new wave of AI is transforming wireless networks, leveraging powerful foundation models to predict behavior and optimize performance.

A new machine learning approach rapidly and accurately determines stellar properties by analyzing their natural vibrations, opening doors to more precise models of stellar evolution.
![The comparative analysis of anomaly detection methods-tested against the KDDCup99, IoTID20, and WUSTL-IIoT datasets-demonstrates that performance, as measured by the Area Under the Curve [latex] AUC [/latex], fluctuates with the volume of records processed, highlighting the critical need for drift adaptation in maintaining reliable anomaly identification across evolving data streams.](https://arxiv.org/html/2601.03085v1/Figures/WUSTL.png)
A new method leverages machine learning to proactively identify anomalies in real-time data streams from industrial IoT devices, minimizing downtime and maximizing efficiency.

Generative artificial intelligence is rapidly transforming network design and operation, promising enhanced efficiency and adaptability.

A new deep learning model treats atmospheric data like a video to forecast high-resolution monsoon rainfall, offering a powerful advance in long-range climate prediction.
A new wave of research is merging communication and sensing capabilities, creating intelligent wireless networks that can perceive and adapt to their surroundings.

A new approach uses the power of language models to directly analyze raw credit bureau data, offering a promising alternative to traditional risk assessment methods.
A new framework leverages artificial neural networks to analyze network traffic and identify malicious activity within social media platforms.

New research reveals a surprisingly limited scope of volatility transmission between financial markets, defying expectations of widespread contagion.