Science

A new deep learning framework dramatically speeds up the process of identifying and analyzing interstellar molecules, offering a powerful tool for astronomers.

Researchers are using artificial intelligence to create realistic brain data, boosting the accuracy of Alzheimer’s disease prediction models and overcoming limitations in real-world datasets.

This review details a comprehensive research portfolio leveraging graph neural networks to analyze program behavior, enhancing malware detection capabilities.

Deep reinforcement learning algorithms are proving to be powerful tools for navigating the volatile world of cryptocurrency investments.

Researchers have released a large-scale dataset designed to help artificial intelligence better identify and combat the growing problem of misinformation online.

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.