Science

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.

A new theoretical framework explores how federated learning can overcome the unique challenges of terahertz wireless communication.

A new decision support system uses fuzzy logic to analyze real-time performance data and suggest optimal player substitutions, potentially offering a more nuanced approach than traditional methods.

New research reveals that deep learning models consistently operate within surprisingly constrained spaces, offering pathways to more efficient AI.