Do you use a name or pronoun when referring to or interacting with large language models (LLMs)? It's in this evolving relationship between humans and technology that a peculiar form of interaction is ...

Combining large language models with traditional methods enhances accuracy in identifying early signs of cognitive decline, offering new hope for early diagnosis. Study: Enhancing early detection of ...

We humans aren't the only ones to experience cognitive decline as we age. Research conducted by neurologists and data scientists reveals that some artificial intelligence models struggle with visual, ...

People increasingly rely on artificial intelligence (AI) for medical diagnoses because of how quickly and efficiently these tools can spot anomalies and warning signs in medical histories, X-rays and ...

Computational cognitive models typically focus on individual behavior in isolation. Models frequently employ closedform solutions in which a state of the system can be computed if all parameters and ...

Cognition holds because difficulty demands patience. What happens when AI no longer requires us to sustain engagement and ...

Researchers at Baylor College of Medicine have discovered a natural mechanism that clears existing amyloid plaques in the brains of mouse models of Alzheimer’s disease and preserves cognitive function ...

This research presents a groundbreaking approach to addressing the zero-shot cross-domain cognitive diagnosis (ZCCD) challenge in intelligent education systems through the innovative application of ...

If you’ve spent any time around kids lately, you’ve probably heard about “brain rot.” Named Oxford Word of the Year in 2024, it’s defined as the “supposed deterioration of a person’s mental or ...

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 ...