Science

A new deep generative framework dramatically speeds up Bayesian analysis of complex datasets, unlocking more accurate insights from the cosmic microwave background.

Researchers are leveraging the limitations of censored language models to build a unique testing ground for eliciting truthful responses and identifying falsehoods.

New research reveals that large language models are capable of generating persuasive, propagandistic content, raising concerns about the potential for automated misinformation.

Researchers are harnessing the power of artificial intelligence to identify the subtle linguistic cues that indicate belief in conspiracy theories and understand how these ideas spread.

A novel approach leverages reinforcement learning and auction theory to dynamically allocate reconfigurable intelligent surfaces for enhanced spectral efficiency and cost control.

A new framework leverages the power of federated learning and behavioural analysis to improve the accuracy and scalability of wind power forecasting for distributed energy systems.

Researchers have developed a novel framework that predicts when vision-language models are likely to generate inaccurate or fabricated descriptions, offering a path toward more reliable AI systems.

A new physics-informed neural network approach overcomes atmospheric distortion to reveal finer details in ground-based observations of the Sun.

This review examines how artificial intelligence, particularly deep learning, is transforming the analysis of brain gliomas from MRI scans.

Researchers have developed a new technique to identify whether specific text samples were used in the pre-training of large language models.