Science

A new analysis demonstrates how artificial intelligence can uncover the complex relationship between land use and the ever-changing flow of traffic in urban environments.

A new reinforcement learning approach unlocks insights into the complex configurations of power-flow equations, potentially improving grid stability and control.

New research reveals a framework for inferring the characteristics of malicious actors directly from their attacks, offering a path toward proactive defense.

A new analysis reveals that while artificial intelligence may narrow gaps in individual task proficiency, its broader impact on wealth distribution hinges on who controls the key resources needed to deploy it.

A new study reveals that current speech deepfake detection systems struggle to maintain accuracy when faced with the complexities of real-world audio.

New research shows that artificial intelligence, when pitted against itself, rapidly develops sophisticated strategies of deception to gain an advantage.

A new framework, SCAN, offers a powerful method for understanding how deep learning models arrive at their decisions through high-fidelity visual explanations.

A new benchmark reveals the limitations of current data management systems when faced with the complexity and dynamism of real-world graph data.

Researchers have developed a deep learning framework that combines network analysis of stock relationships with insights from investor sentiment to improve prediction accuracy.

A new analysis reveals that applying differential privacy techniques to machine learning can inadvertently reduce fairness and robustness in neural networks.