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

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Humans still matter most. Google Research head Yossi Matias argues that AI won’t replace scientists — it will multiply their ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

Companies of all sorts run on information to handle services like news platforms, e-commerce and financial markets, and ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

Scientists have assembled the largest collection of dream data ever created, pooling more than 2,600 sleep recordings from ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently ...

The suppression of the 3D-Flow invention — a breakthrough recognized in 1993 that could have saved billions of euros and millions of lives—instead supported the use of FPGA for an application that is ...