Abstract: Understanding what algorithms are really about can be quite hard for students, mostly because they are theoretical and often taught using old-fashioned ways like simple pictures and texts.

Quantum materials are of fundamental interest and are promising for applications such as next-generation computers. These materials are commonly studied with bulk averaging probes and thus their ...

Abstract: This paper shows how algorithm visualization can be used to teach sliding windows protocols. In the described approach, the student creates and visually manipulates traffic between an ...

Screening the general public for atrial fibrillation (AF) may enable early detection and timely intervention, which could potentially decrease the incidence of stroke. Existing screening methods ...

Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important ...

Organellar (plastid and mitochondrial) genomes play an important role in resolving phylogenetic relationships, and next-generation sequencing technologies have led to a burst in their availability.

Three Illinois CSL and ECE Illinois faculty have received grants from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation. Olgica Milenkovic, Idoia Ochoa, and ...

How do words develop new senses? Unlike changes in sound or grammar where there are rich formal characterizations, semantic change is poorly understood. Changes in meaning are often considered ...