Science

New research shows large language models can infer the subtle forces of dealer hedging, even when stripped of identifying data, suggesting a deeper understanding of market mechanics.

A new approach leverages the power of network analysis to identify coordinated trading activity among corporate insiders, revealing patterns hidden from traditional surveillance.

A new approach integrates geostatistical principles into transformer networks to improve the accuracy and efficiency of predicting events across space and time.

Researchers are leveraging deep learning to optimize power grid control, enabling faster and more reliable responses to changing demand and conditions.

As deepfake technology advances, a new ethical framework is needed to address the potential for misinformation and harm, and this paper proposes Islamic principles as a uniquely effective solution.

This review explores how artificial intelligence can anticipate future radar returns, enabling autonomous vessels to navigate more effectively in complex maritime environments.

Accurately forecasting electric vehicle charging load is crucial for grid stability and efficient energy management as EV adoption accelerates.

Researchers have developed a new automated system to expose the subtle prejudices embedded within text-to-image models, revealing how these systems can perpetuate harmful stereotypes.

Researchers are leveraging advanced network analysis and machine learning to unlock deeper insights into the brain changes associated with Alzheimer’s disease.

Researchers are now able to detect and analyze sensitive and illegal content embedded within Ethereum transactions, revealing a previously unseen risk to blockchain security and privacy.