Smart Money: Boosting Portfolio Returns with Learned Insights

A new framework leverages transfer learning to improve investment strategies by intelligently applying knowledge from related financial markets.

A new framework leverages transfer learning to improve investment strategies by intelligently applying knowledge from related financial markets.

A new framework leverages neural networks to simultaneously price and hedge European options, even when perfect market replication isn’t possible.

A new foundation model leverages the power of Transformers to understand and analyze high-volume transaction data, opening doors for improved fraud detection and personalized recommendations.

Researchers have developed a semi-supervised method to reliably identify images created by artificial intelligence, even those generated by unfamiliar models.

Researchers have developed a method to dramatically improve the accuracy of large language models when only limited human-labeled data is available.
A novel framework ensures optimal pricing strategies even when customers actively try to game the system.
A new framework uses reinforcement learning to intelligently select image patches for analysis, dramatically improving the detection of even the most minor anomalies.

New research demonstrates the power of gradient boosting models to accurately forecast Bitcoin volatility, offering insights for traders and investors.

A new framework leverages the power of generative AI and active learning to pinpoint threats, even with limited labeled data.

A new approach leverages sequential data analysis to forecast tourist movement patterns and improve destination management.