Science

New research reveals that nuanced analysis of news articles, beyond simple positive or negative sentiment, can significantly improve predictions of WTI crude oil futures returns.

A new approach leverages game theory and multi-agent reinforcement learning to safeguard transportation networks against increasingly sophisticated data manipulation attacks.

Researchers have developed a novel unsupervised method for identifying unusual patterns in time-series data by focusing on how well observed data aligns with inherent system characteristics.

As neural networks become increasingly vital for identifying misinformation, understanding why they make certain predictions is crucial for building trust and ensuring accuracy.

A new approach leveraging the power of artificial intelligence is delivering significantly improved accuracy in predicting complex network traffic patterns.

A new study reveals surprising results in multilingual financial fraud detection, challenging the dominance of modern transformer models.

A new system, Agentar-Fin-OCR, uses advanced artificial intelligence to intelligently extract data from challenging financial reports and statements.

Researchers have developed a novel technique to reliably identify images generated by artificial intelligence, moving beyond the limitations of existing detection methods.

A new approach leverages machine learning to create detailed, real-time maps of wireless spectrum usage, paving the way for smarter allocation and improved network performance.

Researchers are leveraging artificial intelligence to more accurately forecast cellular traffic demand, paving the way for more efficient 5G and 6G network planning.