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

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 ...

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 ...

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

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

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 ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

An artificial intelligence-based tool can predict the medical trajectories of individual premature newborns from blood ...

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...

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 ...

The growing uncertainty in US science policy alarms the federal government. With millions in investments, it wants to ...