Over the past decade, an explosion of mobile computing has offered new ways for more people to have an impact in their communities. As a result, more people are studying computer science, whether in ...

For artificial intelligence to realize its potential — to relieve humans from mundane tasks, make life easier, and eventually invent entirely new solutions to our problems — computers will need to ...

Today’s digital economy is blurring the boundaries between computer science and economics — in Silicon Valley, on Wall Street, and increasingly on university campuses. Yale undergraduates interested ...

Computer-based learning is reshaping education by offering students the flexibility to learn at their own pace — a vital option for those whose needs may not be fully met in conventional settings. But ...

Artificial Intelligence (AI) and Machine Learning research explores the nature of intelligence and the ways in which computation can be used to explain and engineer it. Work in AI combines the scale ...

Artificial intelligence (AI) is a revolution that is changing how individuals live and work; it’s not just a technological development. There are fundamental building blocks for AI that outline its ...

The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...

Whether you are advancing your tech career or transitioning into the tech sector, online computer science classes provide you with the education you need. Many courses have little to no cost and allow ...

This chapter considers the use of simulations and games for science learning in the context of formal education. After describing the variety of contexts in which individuals interact with simulations ...