Expected to open by fall 2027, the hub “will be a place where learning extends beyond lectures, exams into hands-on discovery,” said Sang June Oh, dean of the College of Engineering ...

Empowering students through multidisciplinary, student-centric education ...

The 36-hour hackathon, sponsored by companies like OpenAI, Google and Anthropic, hosted over 1,000 students from around the ...

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 ...

After a streak of high-profile crossover announcements, from 'X-Files' to 'Power Rangers', here's everything that's currently in development for Lego's crowd-supported line of sets. Reading time 4 ...

Computer science (CS) doesn’t have to be intimidating. With the right tools and support, any teacher can demystify coding and create meaningful CS learning. In this webinar, teachers and ...

In 2025-26, students entering the field of computer science will face a harder time than ever. According to the U.S. Bureau of Labour Statistics, overall employment in computer and IT occupations is ...

A quantum computer has reached new heights. The first quantum computer in space is now orbiting Earth on a satellite, scientists report. Launched on June 23, the computer had to be designed to fit in ...

Academic, civic and religious leaders gather to celebrate completion of the University of Utah's Applied Science Project. The school's sprawling Crocker Science Complex stretches 275,000-square-feet ...

The big picture: The rapid rise of generative artificial intelligence is prompting a fundamental rethinking of computer science education in the US. As AI-powered tools become increasingly proficient ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.