The Atlanta Fed’s Oct. 17 update revealed consumer spending growth ticking up to 3.3% while private investment jumped to 4.4% ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

A new method can secretly watermark ChatGPT-like models in seconds without retraining, leaving no trace in general output and ...

Essential security practices like threat modeling and code scanning must be applied to all new software development methods.

The study shows a critical gap in modern urban informatics. Synthetic data and digital twin models, the authors note, have ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

PV projects operate close to technical and financial limits, meaning that inaccurate inputs can have performance and ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...