Science

A new poker AI, Patrick, prioritizes exploiting human tendencies over achieving game-theoretic perfection, yielding profitable results in real-money play.

A new method leverages both local and global confidence metrics to significantly accelerate the decoding process for large language diffusion models.

A new approach offers more reliable insights into why natural language processing models make the predictions they do.

A new framework aims to empower marketing teams by co-creating strategies and content with generative AI, offering both creative support and data-driven insights.

A new framework delivers clear explanations for complex power system optimization, bridging the gap between algorithmic decisions and human oversight.

A new approach leverages the Linux kernel’s ftrace function graph tracer and machine learning to identify subtle system behaviors, including the detection of encryption activity.

Researchers have developed a novel algorithm that tackles long-term decision-making in offline reinforcement learning, improving performance on challenging datasets.

Designing effective reward functions remains a critical challenge in reinforcement learning, and this review explores novel approaches to crafting dense rewards that accelerate agent training and improve performance.

A new approach to maritime anomaly detection leverages federated learning to identify unusual vessel movements while preserving data privacy and reducing communication overhead.

From simple linear models to the power of deep learning, this review offers a complete exploration of techniques for understanding relationships in data.