Brain-Computer Interfaces (BCIs) have experienced substantial advancements in recent years, largely propelled by the evolution of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This mini review investigates the convergence of AI and ML with BCIs, examining both invasive and non-invasive BCI modalities. We delineate the contributions of AI and ML in processing and interpreting brain signals, survey diverse algorithms, outline significant discoveries, and suggest prospective research avenues to propel BCI technology forward.
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