Science

A new framework leverages concepts from quantum mechanics to offer a more nuanced understanding of asset dependencies and systemic risk in financial markets.

A new study reveals that defenses against malicious code injected into AI agent supply chains often fail when transferred between different large language models.

A new analysis reveals the vulnerabilities of deep learning models used in Wi-Fi sensing and highlights critical defenses against increasingly sophisticated adversarial threats.

Researchers demonstrate how a single, subtle manipulation of an image can redirect the decision-making process of powerful artificial intelligence systems.

A new review examines how our ability to predict solar flares-powerful eruptions that can disrupt space weather and impact Earth-is evolving from physics-based simulations to cutting-edge data-driven methods.

A new approach uses AI to automate the complex process of predicting power grid stability, accelerating analysis and optimizing system design.

As large language models become increasingly integrated into critical applications, understanding how – and why – they fail is paramount.

A new framework leverages advanced attention networks and dynamic risk assessment to dramatically improve forward collision warning systems in challenging traffic conditions.

A new report details the evolving landscape of technical and institutional safeguards designed to manage the risks of increasingly powerful artificial intelligence.

New research demonstrates how advanced image recognition systems are improving the speed and accuracy of early wildfire detection.