Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Overview: Generative AI reduces time spent on data preparation and manual processing tasks.Plain language queries help more ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

Harnessing the power of artificial intelligence to study plant microbiomes—communities of microbes living in and around ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Be a part of the climate solution using data and advanced technologies to inform decisions. Identify key patterns in temperature changes, water levels and species populations. Guide policy towards ...

The deepfakes expert is leading the institute that plays a key role in advancing UB's decades-long leadership in AI and data ...

Step into a career in the high-demand field of data science with a Master of Science from the University of Colorado Boulder. Our two-year, interdisciplinary program will prepare you to become a data ...

New study identifies systematic patterns in armed conflicts across Africa – and the limits of forecasting conflict intensity, ...

The math of data structures helps us understand how different storage systems come with different trade-offs between ...