Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of rules a ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Quantum computers have the potential to model new molecules and weather patterns better than any computer today. They may ...

“LET’S do it again,” calls a ten-year-old. Once more, pupils clasping printed numbers follow tangled lines marked with white tape on the floor of their school hall. When two meet, the one holding the ...

In the 21st century, “learn to code” has become a mantra of sorts for a certain kind of person. And yes, for many people, coding is a great first or even second career choice after attending ...