Science

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.

A new wave of research is moving beyond what neural networks do, to reveal how they actually compute, offering unprecedented insight into the workings of AI.

A new study demonstrates that a refined deep learning model can reliably identify manipulated facial images with high precision.

A new approach to portfolio optimization leverages reinforcement learning to maximize financial goals within defined timeframes, even in turbulent market conditions.