Data constantly changes. For instance, the name of the current German Chancellor can change faster than expected. Machine learning models must adapt to new knowledge and continually improve their ...

A key challenge lies in balancing patient privacy with the opportunity to improve future outcomes when training artificial intelligence (AI) models for applications such as medical diagnosis and ...

Indrani Dey is a PhD student in Learning Sciences at the University of Wisconsin-Madison, studying under Dr. Sadhana Puntambekar. At iSAT, she works with Dr. Puntambekar to investigate how students’ ...

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

Collaborative learning in college is an instructional approach where students work together in small groups to solve problems, complete tasks, or discuss concepts. It emphasizes shared responsibility, ...

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated ...

Researchers have developed machine learning models that can recommend and personalize applied behavior analysis (ABA) treatment goals for children with autism spectrum disorder, achieving up to 84% ...

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.

While it might be tempting to view “active learning” as another educational buzzword, a large body of research demonstrates that active and collaborative classrooms produce deeper and more ...