A study demonstrated that AI 'co‑pilots' can augment brain‑computer interface (BCI) control by sharing decoding responsibilities between algorithms and users, boosting accuracy and robustness in complex tasks. The work describes algorithmic strategies to smooth user intent, reduce error, and adapt in real time — a model that could shorten training time for clinical BCI users. Separately, researchers reported a scalable, minimally invasive high‑resolution BCI that supports broader cortical coverage with reduced surgical morbidity. The device combines modular electrode arrays and an implantation approach designed to balance spatial resolution with clinical practicality, supporting expanded neuroprosthetic and neurorehabilitation applications.