Science

New research leverages topic modeling to uncover hidden connections between hedge fund communications and actual investment performance.

New research shows artificial intelligence can significantly improve strategies for managing risk in complex interest rate derivative markets.

A new technique allows large language models to selectively ‘unlearn’ information during use, improving reliability and opening doors for deployment in critical fields.

Artificial intelligence is rapidly transforming anti-money laundering practices, offering the potential for more accurate, efficient, and transparent financial systems.

A new study demonstrates how convolutional neural networks can identify and explain potentially fraudulent activity in publicly traded companies.

New research reveals that background distractions in images don’t always hinder deep learning models for autonomous vehicle perception, challenging conventional assumptions about feature importance.

A new approach tackles the challenges of zero-shot super-resolution forecasting by enabling models to generalize effectively across different resolutions.

Researchers are developing new techniques to train language models to not just generate text, but to actively reason and verify their conclusions.

A new principle, Neural Coherence, offers a way to boost model performance on unseen tasks by strategically selecting pre-trained models and data.

A new review explores how quantifying uncertainty can unlock data-efficient artificial intelligence, enabling robust performance even with limited training data.