The search for exoplanets aims to identify planets with compositions similar to Earth’s, providing insights into planetary formation and habitability. As a result, efforts to enhance the efficiency of ...

This study introduces a physics-regularized neural network (PRNN) as a computational approach to predict silicon carbide’s (SiC) swelling under irradiation, particularly at high temperatures. The PRNN ...

Overview: Fewer than half of enterprise machine learning models reach production, and the root cause is almost always a ...

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

Northwestern University has launched an institutional network dedicated to the integration of data science and AI across all aspects of research and education. The Northwestern Network for ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...