Science

Generative artificial intelligence is rapidly transforming network design and operation, promising enhanced efficiency and adaptability.

A new deep learning model treats atmospheric data like a video to forecast high-resolution monsoon rainfall, offering a powerful advance in long-range climate prediction.

A new wave of research is merging communication and sensing capabilities, creating intelligent wireless networks that can perceive and adapt to their surroundings.

A new approach uses the power of language models to directly analyze raw credit bureau data, offering a promising alternative to traditional risk assessment methods.

A new framework leverages artificial neural networks to analyze network traffic and identify malicious activity within social media platforms.

New research reveals a surprisingly limited scope of volatility transmission between financial markets, defying expectations of widespread contagion.

Researchers have developed a unified artificial intelligence capable of forecasting both individual stock performance and broader financial system vulnerabilities.

A new framework accurately forecasts deep learning model performance by separating data difficulty from model architecture, paving the way for smarter resource allocation.

A new multi-agent system harnesses the power of artificial intelligence to rapidly integrate and analyze data from disparate sources, enabling more effective real-time disease surveillance.

A new deep learning approach dramatically speeds up full waveform inversion by intelligently focusing on the most informative seismic data.