Smart Networks for Industry 4.0: Scaling Intent-Based Control with Federated Learning
A new framework harnesses the power of distributed AI to verify network policies and optimize performance in complex Industrial IoT deployments.
Science
Future-Proofing 6G: A New Approach to Network Security
As 6G networks evolve, a fundamental shift in security paradigms is needed to address emerging threats and the dynamic nature of future connectivity.
Graphs Get a Social Boost: Improving Link Prediction with Community Structure
![A community-aware link prediction framework first establishes global node representations by identifying central nodes within communities-determined through community detection and [latex]PageRank[/latex] centrality-and then augments the graph structure with prior probabilities to address incompleteness, ultimately constructing robust edge representations by integrating local neighborhood features, path information, and cross-community collaboration.](https://arxiv.org/html/2512.21166v1/doc/Figure_2.png)
A new approach leverages the inherent community organization within networks to create richer graph representations and more accurately predict missing links.
Graphs Get a Social Boost: Improving Link Prediction with Community Structure
A new approach enhances graph representation learning by integrating community detection, leading to more accurate predictions of missing connections.
AI Checks the Medicine: A Real-World Test in UK Healthcare
A new study evaluates how well artificial intelligence can identify potential medication errors in routine primary care settings within the National Health Service.
Mapping Lung Cancer Risk with AI
A new deep learning model leverages the power of spatiotemporal data and multi-modal analysis to improve the accuracy of pulmonary nodule malignancy prediction.
Beyond the Scan: AI Improves Lung Cancer Treatment Predictions
New research demonstrates that leveraging the power of artificial intelligence to interpret complex patient data is leading to more accurate forecasts of lung cancer treatment success.
Forecasting the Future: AI for Cloud-Native Workloads
A new framework intelligently predicts complex, multi-faceted demands in cloud backends, improving performance and resource utilization.
Taming the Chaos: A New Lens on Deep Learning Stability
Researchers have developed a unifying mathematical framework to analyze and guarantee the stability of deep learning models, moving beyond empirical observation.
Can Machines Catch Feelings? Simulating Social Contagion
New research explores how well artificial intelligence can model the spread of emotions through online social networks.