I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Computer science has long operated on a foundation of trust: researchers publish findings, peers verify them, and the field ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

A computer scientist at the University of Nebraska–Lincoln is spearheading three innovative projects to enhance the speed, ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

Faculty are also exploring how AI and data science can drive broader sustainability solutions. CSL is rethinking the ...

The USA Corporate Education in AI and Data Science Market is driven by a growing need for skilled professionals. Key opportunities include the expansion of online learning platforms and partnerships ...

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 Engineering Science MS with a focus on AI and Data Innovation bridges the power of artificial intelligence and data science to prepare the next generation of engineers, innovators and problem ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

AUC formalizes its relationship with Robin, the data science subsidiary of Beltone Holdings, to bring further academic and professional opportunities for data science students.