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 ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Large lecture courses are a staple in many disciplines, varying in size from 40 students up to 400+. They are often viewed as an effective and economical way to guide students through foundational ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The alternative text for this image may have been generated using AI. Here, we summarize the recent progress in population genetics with deep learning. We first briefly review traditional approaches ...

Garine’s breakthrough came during the AI in Healthcare course. While the course explores subjects ranging from electronic ...

Fortunately, actively learning can become part of an instructor’s lectures in small steps. Incorporating one of these activities into your already created lectures is a great step in getting students ...

Deep neural networks are increasingly used for neurological disease classification by MRI, but the networks’ decisions are not easily interpretable by humans. Heat mapping by deep Taylor decomposition ...

Step into most college classrooms today and you will likely see a familiar scene: slides glowing at the front, a professor lecturing, students scribbling notes or staring at laptops. Despite decades ...