Science

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.

New research shows that smaller artificial intelligence models, enhanced with reasoning abilities, can match the performance of much larger systems in identifying critical risks to children.

A new study explores how well traditional machine learning techniques can identify sarcastic comments on Reddit, focusing solely on the text of replies.