ABSTRACT: Academic achievement has been the subject of extensive investigation, highlighting the importance of individual, cognitive, and behavioral factors that influence students’ performance. Among ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

ABSTRACT: Graduate attributes are essential skills, knowledge and values that prepare university students for professional success and responsible citizenship in a globalised world. This study uses ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

On Thursday, researchers at Carnegie Mellon University unveiled LegoGPT, an AI model that creates physically stable Lego structures from text prompts. The new system not only designs Lego models that ...

Abstract: Recent advancements in image denoising algorithms have significantly improved visual performance. However, they also introduce new challenges for image quality assessment (IQA) indicators to ...

A team of researchers created Morpho, an open-source programmable environment that enables researchers and engineers to conduct shape optimization and design for soft materials. Applications can be ...