The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Northwestern Engineering students pursuing the machine learning and data science (MLDS) minor learn to develop comprehensive data science pipelines, glean insights from data, and think critically ...

The architecture profession is increasingly facing the pressures of a rapidly changing era marked by urbanization, population growth, and climate change. To effectively navigate the complexities ...

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 ...

UW Medical Data Science Symposium keynote speaker Atul Butte, director of the Bakar Computational Health Sciences Institute at the University of California, San Francisco. (GeekWire Photo / Charlotte ...

A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a field aimed at achieving quantum advantage to outperform classical machine ...