The Rise of Dangerous DIY AI
As artificial intelligence models become smaller and more efficient, the potential for misuse grows, even with limited computing resources.
Science
Uncovering Hidden Connections: A New Lens on Complex Systems
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.
Can AI Truly Count? Closing the Gap in Financial Reasoning
New research tackles the surprising arithmetic weaknesses of advanced artificial intelligence when applied to complex financial problems.
Taming Chaos: How Machine Learning is Redefining Control
![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.
Reading the Globe’s Mind on Climate Action
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.
Knowing Your Digital Shadow: Helping Users Understand Privacy Risks
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.
Listening for the Unexpected: AI Spots Noise in Gravitational Wave Data
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.
The Shockwave Effect: Political Risk and Sovereign Debt
Recent events demonstrate how extreme political shocks can fundamentally alter perceptions of sovereign risk, decoupling it from long-term growth expectations.
Fog’s New Intelligence: Decentralized Agents for Smarter Networks
![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.
Predictive Power: A Universal Model for Virtual Sensors
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.