Science

A new framework uses reinforcement learning to intelligently select image patches for analysis, dramatically improving the detection of even the most minor anomalies.

New research demonstrates the power of gradient boosting models to accurately forecast Bitcoin volatility, offering insights for traders and investors.

A new framework leverages the power of generative AI and active learning to pinpoint threats, even with limited labeled data.

A new approach leverages sequential data analysis to forecast tourist movement patterns and improve destination management.

A new approach combines the power of machine learning with established algorithmic techniques to tackle complex graph optimization problems.

A new approach to acquiring labeled data uses active learning to optimize costs and improve model performance in forecasting applications.

New research reveals a fundamental flaw in how deep learning models identify image forgeries, stemming from inconsistencies in the frequency spectra of real and synthetic images.

Researchers have developed a novel framework that uses synthetically generated data to dramatically improve the efficiency and accuracy of fact-checking financial statements and claims.

New research explores how reputation systems can foster reliable data exchange and fair pricing in manufacturing industries.

Researchers have developed a novel system that uses genetic algorithms to automatically identify and propose optimal multi-player fantasy football trades, moving beyond simple player-for-player swaps.