Synthetic data approach reduces costs, enhances privacy, and accelerates ML model training
—
The prototype is now fully interactive and accessible via mouse, touch, or keyboard
—
High-fidelity synthetic EEG and physiological data can be generated using statistical methods leveraging correlation structure and randomized sampling paired with machine learning validation to preserve real-data characteristics and maintain signal integrity
—
Under-targeted areas can be identified and addressed with new content ideas