Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct concepts for computer vision might be combined to create a more robust ...

"Quantum" may seem like a useless buzzword, but quantum computing is a real thing, and it's actually understandable even if ...

Complete Explanation A logarithm is the power which a certain number is raised to get another number. Before calculators and various types of complex computers were invented it was difficult for ...

When we define technology in computer systems, it means using computers and related tools to handle information. This includes storing it, moving it around, and making sure it’s safe. IT is made up of ...

Abstract: Understanding liquid spray is essential for spray applications, including but not limited to designing fuel-efficient engines. Due to the challenges involved in collecting real-world liquid ...

Are all diamonds valuable? How can you approach a diamond investment wisely? Before answering these challenging questions, I'd like to educate you on this mineral. Over my 10 years in the jewelry ...

AI systems learn patterns from data rather than following explicit instructions. Neural networks process information through connected layers to detect complex patterns. Modern AI chatbots like ...