Science

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

A novel Double Machine Learning estimator tackles the complexities of analyzing macroeconomic time series, improving our ability to understand cause-and-effect relationships.

New research suggests that the future electricity consumption of artificial intelligence isn’t a given, but a dynamic interplay between technological advancements and economic forces.

As artificial intelligence increasingly shapes online experiences, this review examines the growing need to safeguard consumer rights against algorithmic manipulation and emerging forms of digital deception.

A novel framework combines tree search, graph neural networks, and weak supervision from large language models to achieve strong performance in the complex board game of Amazons, even with computational constraints.

A novel approach combines deep learning with traditional finance to deliver more robust and reliable hedging strategies under volatile market conditions.

Researchers have developed a sophisticated model that more accurately simulates the dynamic behavior of equity markets, capturing key statistical characteristics often missed by conventional techniques.

New research reveals that generative AI can subtly manipulate images to evade existing deepfake detection systems, exposing a critical vulnerability in current authentication methods.

New research reveals that U.S. market signals offer stronger predictive power for Chinese stock returns, and demonstrates a novel approach to cross-market forecasting.

Researchers have developed a novel system that combines intelligent program analysis with large language models to dramatically improve the detection of malware created by artificial intelligence.