Researchers have developed a novel method to reveal underlying network structures within observational data, offering insights into phenomena ranging from customer behavior to neurological events.
New research tackles the surprising arithmetic weaknesses of advanced artificial intelligence when applied to complex financial problems.
![Trajectories flirting with chaos can be subtly steered towards safety by a carefully tuned control function [latex]U_{\in fty}(x)[/latex], which defines an admissible set [latex]S(u)[/latex] within which even initially unstable paths-previously escaping a defined region [latex]Q=[0,1][/latex]-remain confined through minimal control interventions, as demonstrated by a bounded control signal [latex]u_n[/latex].](https://arxiv.org/html/2601.21510v1/x3.png)
A new wave of machine learning techniques is empowering scientists to better understand and manage the inherent unpredictability of chaotic systems.
New research shows artificial intelligence can accurately gauge public perceptions of support for climate initiatives across the world, offering a powerful tool for understanding and addressing perception gaps.
New research explores how to effectively communicate the likelihood of privacy breaches to individuals, empowering them to make more informed decisions about sharing personal information online.
Researchers are harnessing the power of pre-trained audio analysis models to improve the detection of subtle noise artifacts that can obscure signals from the universe’s most violent events.
Recent events demonstrate how extreme political shocks can fundamentally alter perceptions of sovereign risk, decoupling it from long-term growth expectations.
![The Agentic Fog system establishes a layered architecture-spanning intelligence, agency, and execution-where a Global Orchestrator decomposes goals and leverages shared memory [latex]S[/latex], while distributed Fog Agents manage resources, ultimately enabling localized task execution by Execution Agents-a design acknowledging that even sophisticated orchestration will inevitably confront the realities of practical deployment and system state.](https://arxiv.org/html/2601.20764v1/x1.png)
A novel framework empowers fog computing with autonomous agents that coordinate through shared memory and policy guidance, promising increased resilience and performance.
Researchers have developed a new foundation model capable of efficiently forecasting time series data from a variety of virtual sensors, offering a significant advance over existing methods.
A new approach utilizes software bill of materials and advanced graph neural networks to anticipate how vulnerabilities can spread through complex software dependencies.