Science

A new approach leverages deep reinforcement learning to intelligently select the optimal wireless network in complex, heterogeneous environments.

A new framework, Miner, boosts the reasoning capabilities of large language models by cleverly repurposing existing data and turning uncertainty into a powerful learning signal.

Researchers have developed a novel framework for fine-tuning large language models to generate clear, accurate explanations for complex financial decisions, building trust in AI-driven systems.

This review explores how deep reinforcement learning is enabling unmanned ground vehicles to autonomously navigate the complexities of modern farms.

Researchers have developed a new AI framework that learns to automatically adjust image colors, dramatically improving the quality of photos taken in low-light conditions.

A new approach uses deep reinforcement learning to dynamically allocate wireless resources, achieving high throughput and surprisingly equitable access.

Researchers are developing sophisticated methods to generate realistic simulations of airport delays, offering a powerful resource for improving air transport analysis and prediction.

New research explores the performance of a bespoke convolutional neural network trained from scratch and with transfer learning across five vastly different image datasets.

A new framework combines large language models with sophisticated risk management to navigate the turbulent world of cryptocurrency trading.

A new system offers a scalable way to analyze historical time-series data, enabling deeper insights and cost optimization for operational analytics.