Science

A new machine learning approach is helping astronomers understand how galaxies are shaped by the invisible network of dark matter surrounding them.

A new artificial intelligence model can accurately assess the risk of coronary artery disease directly from electrocardiogram data, potentially reducing the need for invasive imaging.

As large language models become increasingly prevalent, understanding and mitigating their potential harms is paramount.

A new study assesses the robustness of NVIDIA’s FourCastNetv2 AI model when predicting Hurricane Florence, finding generally reliable track forecasts even with imperfect data.

A new approach leverages patient data represented as interconnected relationships to improve the early detection of this life-threatening condition.

A unified artificial intelligence system is emerging to address the growing challenges of data reliability and compliance in highly regulated industries.

A new study assesses the power of dynamic Bayesian networks to predict Value at Risk and Stressed Value at Risk, offering a forward-looking alternative to standard risk assessment techniques.

New research illuminates how the risk preferences of informed traders impact price discovery in financial markets.

A new framework dynamically filters out noisy labels during training, boosting the performance and reliability of language models used for code-related tasks.

A new approach to clinical decision support uses interconnected AI agents to more accurately identify secondary headaches in primary care settings.