Neuralink and major academic labs deploy non-invasive EEG and implantable microelectrode BCIs, applying AI-driven signal processing to translate neural activity into device commands, aiming to restore mobility, augment cognition, and enhance daily human–computer interaction.

Key points

• Non-invasive EEG and implantable microelectrodes capture neural signals for thought-driven device control.
• Deep learning models filter noise, extract neural features, and map brain activity to real-time device commands.
• Hybrid BCIs combine multimodal data (EEG, EMG, eye-tracking) and adaptive algorithms to boost reliability and reduce user training.

Why it matters: AI‐augmented BCIs promise accessible neuroprosthetics and direct thought‐driven control, revolutionizing mobility, communication, and user autonomy.