Science

A new deep learning method combines the power of neural networks with interpretable parameters to provide robust anomaly detection and clear explanations for its decisions.

A new approach combines the power of large-scale forecasting models with traditional regression techniques to deliver more accurate electricity price predictions.

New research reveals that carefully curated datasets, not just larger models, are the key to unlocking robust performance in financial language models.

A new benchmark reveals that current large language models consistently fail at complex financial reasoning within spreadsheets, highlighting a critical gap in their analytical abilities.

New research demonstrates how artificial intelligence can improve option hedging strategies, minimizing risk and lowering costs for traders.

New research reveals pervasive demographic biases within financial language models and proposes a unified approach to identify them more efficiently.

Researchers have developed a novel framework that combines generative modeling and ensemble learning to accurately identify unusual patterns in complex financial data.

New research shows that accounting for a player’s relationships and career progression, rather than just on-court performance, can significantly improve salary predictions.

A new deep learning framework dramatically improves the detection and characterization of fast radio bursts, unlocking the potential of large-scale radio astronomy datasets.

A novel benchmark and auditing system aims to improve the reliability of fact-checking for in-depth reports generated by artificial intelligence.