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 ...

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 ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

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, ...

As artificial intelligence (AI) plays a more central role in our lives, large language models (LLMs) are emerging not just as tools but as transformative partners in cognitive processes. Central to ...

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 ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

As AI tools become increasingly embedded in K-12 education, they offer personalized learning, real-time feedback, and access to information at unprecedented speed. However, alongside these benefits ...

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...