Science

Researchers have created a comprehensive dataset and evaluation framework to improve the detection of unusual activity in complex maritime environments.

New research combines natural language processing, macroeconomic data, and advanced forecasting to unlock predictive signals in Sri Lanka’s stock market.

A new approach combines the power of large language models, real-time news retrieval, and reinforcement learning to better understand investor sentiment and predict stock market movements.

Generative AI is rapidly changing the landscape for financial analysts, but new research reveals a hidden cost to increased data synthesis.

A new deep learning approach dramatically accelerates the search for these enigmatic cosmic flashes by bypassing traditional signal processing bottlenecks.

A new hybrid approach combines the power of automated rule discovery with focused human guidance to build AI systems that are both accurate and easily understood.

New research shows surprisingly simple artificial intelligence methods can outperform traditional economic policy rules in managing macroeconomic uncertainty.

A new study demonstrates how machine learning can significantly improve the early identification of rare and powerful Type Ic-BL supernovae.

A new deep learning approach is proving effective at isolating faint signals of the universe’s earliest moments from the noise of intervening cosmic structures.

Researchers have developed a novel framework that allows graph neural networks to learn new tasks without losing previously acquired knowledge, while also safeguarding data privacy.