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 ...

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 ...

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 ...

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 ...

In a recent study published in the journal NPJ Digital Medicine, researchers have developed a deep learning algorithm capable of analyzing high-resolution images of retinal vasculature to detect ...

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, ...

This time, my journey into the world of AI wasn’t about predictions or data-driven claims—it was something more curious and reflective. In trying to understand the strange cognitive structure of large ...

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 ...