With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Step away from the laminator. Gently lower the staple gun. It’s that time of year again. When fonts, colours, and classroom themes suddenly feel like very important decisions (I beg you to steer away ...

Most of us think we're pretty good at paying attention. Lots of us think that's true even while multiple things at the same time. Like when we drive. Each us has a story where we've been driving and ...

Welcome to the Cognitive Experiments, Models, and Neuroscience Lab! Our research focuses on human perception and memory from a broad-based, computational perspective. To shed light on these basic ...