During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks. Learners will be able to describe the process behind classic algorithmic solutions to Computer ...

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 ...

Geoffrey Hinton is one of the creators of Deep Learning, a 2019 winner of the Turing Award, and an engineering fellow at Google. Last week, at the company’s I/O developer conference, we discussed his ...

Computers generated a great deal of excitement in the 1950s when they began to beat humans at checkers and to prove math theorems. In the 1960s the hope grew that scientists might soon be able to ...

A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn. Even as ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. Some ...

This lab course introduces students to modern topics of engineering optics. Teams of students will carry out four different projects: holography, lasers, free-space optical communication, and ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

Computer networks are critical parts of almost every organization. Computer network and system administration (CNSA) refers to the day-to-day operation of these networks. CNSA professionals organize, ...