Science

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.

New research demonstrates how incorporating real-world factors into machine learning models dramatically improves the accuracy of demand forecasting for optimized inventory control.

New research demonstrates that existing deep learning models, refined with improved data handling, can effectively classify radio galaxies without the need for complex new architectures.

A new analysis reveals a predictable pattern in how artificial intelligence generates text, offering a robust method for distinguishing it from human writing.

A new cognitive agent, Mind2Report, aims to synthesize commercial-grade reports with minimal human intervention, marking a significant step toward fully automated research capabilities.