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Mapping Financial Contagion: A New Network Approach

08.01.2026 by qfx

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.

Categories Science

Intelligent Wireless: The Rise of Foundation Models

08.01.2026 by qfx

Frequency modulation enhances the analytical capabilities of visual data within wireless networks, allowing for a nuanced understanding of system behavior as networks inevitably evolve toward states of entropy.

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

Categories Science

Stellar Sounds: AI Decodes the Hearts of Stars

08.01.2026 by qfx

The study demonstrates how inference pipelines, when applied to classical solar observables and frequency échelle diagrams, can reconstruct posterior predictive distributions-indicated by pink shading-that align with observed solar modes (pink squares), with the application of surface corrections (green bars) refining predictions beyond the initial one sigma range (black bars).

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.

Categories Science

Predictive Policing for Machines: Detecting Industrial IoT Failures Before They Happen

08.01.2026 by qfx

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.

A new method leverages machine learning to proactively identify anomalies in real-time data streams from industrial IoT devices, minimizing downtime and maximizing efficiency.

Categories Science

AI Takes the Network: A New Era for Connectivity

07.01.2026 by qfx

Artificial intelligence is being increasingly applied to networking, enabling diverse applications and innovations within the field.

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

Categories Science

Seeing the Monsoon: AI Predicts Rainfall with Unprecedented Detail

07.01.2026 by qfx

The model accurately predicts spatial patterns of the JJAS seasonal average for 1988, demonstrating a strong correlation with ground truth data achieved through a configuration employing a bottleneck size of 512 and four convolutional blocks.

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.

Categories Science

Seeing is Connecting: AI-Powered Wireless Networks of the Future

07.01.2026 by qfx

A new wave of research is merging communication and sensing capabilities, creating intelligent wireless networks that can perceive and adapt to their surroundings.

Categories Science

Beyond Scores: AI Models Read Between the Lines of Credit Risk

07.01.2026 by qfx

The iterative refinement of the model yielded progressively improved Area Under the Curve (AUC) scores, culminating in a final version that closely approaches industry-standard performance in credit risk prediction-a testament to the system’s potential even as it navigates the inevitable entropy of complex predictive models.

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.

Categories Science

Spotting Threats in the Social Web

07.01.2026 by qfx

A new framework leverages artificial neural networks to analyze network traffic and identify malicious activity within social media platforms.

Categories Science

Contagion’s Hidden Networks: Mapping Volatility Spillovers with Machine Learning

07.01.2026 by qfx

Realized volatility, estimated via the Yang-Zhang method across six futures markets from May 2002 to January 2025-a period encompassing 5,699 observations-demonstrates the quantifiable, annualized fluctuation inherent in those markets, revealing patterns discernible only through rigorous time-series analysis.

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

Categories Science
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