Science

A new analysis of online forum data reveals shifting trends in mental wellbeing throughout the pandemic, offering a unique window into population-level emotional states.

Researchers have developed a novel deep learning model that significantly improves the accuracy and realism of short-term precipitation forecasts.

A new benchmark framework assesses the ability of foundation models to detect neuropsychiatric disorders from speech and text, revealing both promise and significant challenges.

Researchers are leveraging advanced image analysis to better understand and diagnose subtle problems in the smallest blood vessels of the heart.

Researchers have developed an autonomous agent that actively shields AI systems interpreting sensor data from malicious prompt injection attacks.

A new framework harnesses the power of distributed AI to verify network policies and optimize performance in complex Industrial IoT deployments.

As 6G networks evolve, a fundamental shift in security paradigms is needed to address emerging threats and the dynamic nature of future connectivity.

A new approach leverages the inherent community organization within networks to create richer graph representations and more accurately predict missing links.

A new approach enhances graph representation learning by integrating community detection, leading to more accurate predictions of missing connections.

A new study evaluates how well artificial intelligence can identify potential medication errors in routine primary care settings within the National Health Service.