Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.