Science

A new approach leverages the power of imitation learning and stochastic simulation to significantly improve the accuracy of railway delay predictions.

Researchers are leveraging the power of large language models to predict future trends in time series data, even when data is limited.

A new approach to portfolio construction leverages dynamic state-switching to navigate economic turbulence and enhance investment returns.

A new study shows artificial intelligence can effectively analyze complex network data to identify and diagnose faults in 5G core networks.

New research reveals that machine learning models used in finance become significantly more vulnerable to manipulation during times of economic stress, demanding a re-evaluation of risk management practices.

New research reveals that interconnected banking systems in BRICS nations are highly vulnerable to systemic risk triggered by geopolitical events and amplified by behavioral panic.

New research demonstrates a powerful graph clustering framework for fraud detection, improving coverage and scalability by intelligently combining different types of connections.

A new deep learning system analyzes visual patterns to predict photosensitivity risk in patients with nystagmus, paving the way for personalized visual aids.

A new framework uses the power of artificial intelligence to generate timely and accurate humanitarian situation reports, offering a critical tool for disaster response.

As multi-agent systems become increasingly complex, researchers are developing new methods to detect and correct harmful behaviors that emerge unexpectedly from their interactions.