New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

What do environmental management, urban planning, public health and civil engineering all have in common? They use geospatial information science and technology to make important decisions. Geospatial ...

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