What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
Professor Arif Sarwat oversees a dynamic department that is leading in quantum research, educating AI-fluent students and building South Florida’s tech workforce through critical industry partnerships ...
Casting a wide net, the Honors College is offering a selection of Honors Forums and Advanced Special Topics this fall thoughtfully designed for interdisciplinary appeal.
Join us for a half-day of timely programming and plenty of networking. Our annual Hot Topics in Employment Law Seminar is a must-attend event for business owners, legal experts, C-suite executives and ...
It was once a degree to some of the highest-paying jobs in the world, but now the University of California is seeing a drop in enrollment for computer science. Part of the reason is that tech ...
NORTH ADAMS — Massachusetts College of Liberal Arts’ (MCLA) Green Living Seminar continues its spring 2026 “Nature and Spirituality” theme with a presentation on “Mindful Birding and the Science of ...
Abstract: This work-in-progress research-to-practice paper describes a new computer science (CS) course that provides undergraduates an opportunity to grow their metacognitive and CS skills through ...
Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...
The standing committee will organize a seminar series, designed for a non-expert audience, on emerging trends in science and technology (S&T) that could transform the Department's approach to research ...
Dr. Margaret Eppstein Professor and Chair of Computer Science, University of Vermont The fitness-landscape analogy has influenced the way scientists think about evolution for nearly a century.
Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.