Science

Researchers have developed a novel reinforcement learning framework that dramatically improves traffic signal control, promising smoother commutes and reduced congestion in complex urban environments.

A new framework offers a path toward reliable depression detection from audio while prioritizing user data security.

A new approach combines Nesterov acceleration with refined residual connections to dramatically improve the efficiency and accuracy of infinitely deep Bayesian neural networks.

As artificial intelligence increasingly assists in critical safety engineering tasks, a subtle degradation of human reasoning can occur – a phenomenon we call the ‘Competence Shadow’.

New research reveals that building safe and widely accepted AI systems isn’t about either trusting developers or imposing strict regulations, but about finding the right balance between monitoring their behavior and penalizing failures.

Researchers have developed a novel artificial intelligence model to more accurately identify and map coronal holes – key features on the Sun’s surface that drive space weather.

Researchers have developed a novel framework that uses the power of large language models to dramatically improve the accuracy and speed of assigning labels to complex financial numbers.

A new simulation-based approach dramatically improves the accuracy of fault prediction in distribution systems, offering utilities crucial lead time for preventative maintenance.

A new analysis reveals that backing stablecoins with illiquid green bonds can amplify market stress and trigger prolonged de-pegging events.

A new study examines how the integration of large language models into search affects its vulnerability to manipulative SEO tactics.