AI's struggle with continuous learning reveals a critical gap between artificial and human cognitive processes.

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

In a comprehensive Genomic Press Interview, Dr. Munir Gunes Kutlu, Assistant Professor at Temple University's Center for Substance Abuse Research, unveils revolutionary findings about how our brains ...

A new study by learning analytics researchers presents key considerations for generative AI (GenAI) educational tools so they are carefully developed to support, rather than replace, human learning.

Researchers at Leipzig University have gained important insights into learning mechanisms in the brain of the fruit fly (Drosophila melanogaster). In a new study published in the Proceedings of the ...

The Learning and Implicit Processes Lab at Ghent University examines the processes of learning and evaluation necessary to navigate our complex world. In doing so, the lab focuses on the role of ...

Researchers at Leipzig University's Carl Ludwig Institute for Physiology, working in collaboration with Johns Hopkins University, have achieved an important breakthrough in brain research. The ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

“Without innovation, we cannot meet the challenges of our time. […] We must learn not only new things, but how to learn. We need to share ideas, push boundaries and move faster. And we must harness ...

The complex relationship between learning and mental health could hold the key to our holistic well-being, a notion brought to life in a recent dialogue with a curious high school student keen on ...