Researchers in brain–computer interface (BCI) labs have developed neural implants and high-density electrode arrays capable of decoding intended speech directly from brain activity. In recent clinical studies involving paralyzed patients, AI systems translated neural signals into text or synthesized speech at rates approaching 70–100 words per minute under controlled conditions. These systems do not “read thoughts” in a broad sense. Instead, they detect patterns in motor speech areas of the brai
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🧠🚀 Decoding Handwriting from Thoughts: A Novel Brain-to-Text Communication System What if thoughts could be directly translated into readable text — for any language, without limitation? This project shows it’s possible. 🧠 Highlights • Reconstructs highly accurate, human-recognizable handwriting trajectories from intracortical brain signals • Novel decoding framework solves temporal misalignment between neural activity and movement intention • Achieves 91.1% recognition from a 1,000-character
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