Science

A new multi-agent system uses the power of language models to automatically discover and refine the underlying logic driving financial markets.

Researchers have developed a theoretical framework for improving Generative Adversarial Network training by incorporating known relationships between data points.

Researchers have developed a new framework that empowers artificial intelligence to navigate and extract insights from complex, unstructured data tables by mimicking a strategic planning and iterative learning process.

A new study demonstrates how computational linguistics can automatically identify recurring motifs within the classic collection of stories, The Arabian Nights.

New research reveals that while AI tools can speed up information gathering from videos, they also create a dangerous tendency for users to accept answers at face value, even when incorrect.

New research explores training large language models to automatically generate formal counterexamples, pushing the boundaries of automated reasoning.

A new approach combines the power of deep reinforcement learning with established inventory management principles to optimize supply chains.

A new study rigorously tests the ability of cutting-edge language models to accurately classify argumentative text.

New research demonstrates a self-supervised learning approach that dramatically improves the detection of rare heart conditions, addressing critical disparities in healthcare.

A novel federated learning framework enhances anti-money laundering efforts by prioritizing data privacy and minimizing the risk of information leakage.