As AI agents become increasingly reliant on external skills, ensuring the integrity of those skills is paramount, and this research introduces a novel framework to address this growing security challenge.
Researchers have developed an AI-powered multi-agent system that learns to proactively defend financial institutions against evolving cyber threats.
Information and communication technologies are becoming essential tools for building more effective, transparent, and sustainable carbon removal projects.
![A survey of thirty-one jurisdictions reveals a systemic lack of preparedness, as no region surpasses a ‘Partially Prepared’ status-a finding underscored by an overall mean score of [latex]33.0[/latex] and clearly demarcated tiers at [latex]20[/latex], [latex]40[/latex], and [latex]60[/latex].](https://arxiv.org/html/2603.01508v1/2603.01508v1/Fig1.png)
A new index reveals a critical lack of preparedness among assessed nations for the potential emergence of artificial sentience, exposing a gap in current AI governance frameworks.
![Learned econometric structures, visualized through a [latex]ggplot2[/latex] implementation, demonstrate discernible differences in their structural homology as determined by SHD comparison.](https://arxiv.org/html/2603.00041v1/2603.00041v1/Pairwise_SHD_Score_Comparison_Among_Learnt_Structures.png)
A new study challenges traditional econometric approaches by exploring how causal machine learning can provide more robust insights for policy decisions based on complex time-series data.
New research explores how machine learning can accurately assess the impact of software bugs, helping developers focus on the most critical issues.
New research reveals the complexities of categorizing AI systems under Europe’s landmark regulations and proposes solutions for consistent compliance.
Current AI safety checks often overlook the complex ways components and stakeholders interact, potentially creating unforeseen and widespread problems.
A new geometric framework reveals how financial markets respond to information avalanches, creating predictable pathways and opportunities for arbitrage.
As AI systems gain increasing autonomy and connect to form complex networks, a new era of security challenges demands urgent attention.