Science

Researchers are leveraging the power of generative adversarial networks to create more accurate and realistic forecasts of how wildfires will spread.

New research demonstrates how accounting for the varying intervals in patient data can significantly improve the accuracy of clinical risk prediction.

A new framework leverages artificial intelligence to enhance the stability and optimization of power grids facing growing threats and disturbances.

New research shows that artificial intelligence models can effectively identify anomalies in power system data, offering a promising path toward more reliable and resilient energy infrastructure.

As artificial intelligence evolves beyond forecasting, researchers are exploring how it can actively shape desirable outcomes in policy and beyond.

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.