Meta's Brain2Qwerty v2 decodes typed sentences from brain scans at 61% accuracy with no implant. The catch: it's room-sized, not real-time, and lab-bound.
The pipeline provides a fully open and modular approach, with a focus on leveraging models available through the Transformers library on the Hugging Face hub. The code is designed for easy ...
Compare AssemblyAI, OpenAI, Deepgram and ElevenLabs voice agent APIs on accuracy, pricing, latency, languages and production ...
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