Mathematical learning draws on both domain-specific and domain-general cognitive operations that enable individuals to acquire, represent and manipulate numerical information. Core to this endeavour ...

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 ...

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 ...

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 ...

Machine learning has emerged as a powerful tool for understanding and optimising adsorption processes across a range of environmental and industrial applications. By leveraging data‐driven models, ...

How repeated training or practice leads to long-term performance improvements is one of the fundamental questions in skill acquisition. Although long-term benefits of perceptual learning have been ...

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 ...

This paper systematically reviews the research progress and application of machine learning in adsorption processes. By virtue of outstanding nonlinear modeling and data mining capabilities, machine ...

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 ...