
San Francisco AI startup Conduit amassed ~10,000 hours of brain-to-language data, the world's larges...
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The creation of a massive, specialized brain-to-language dataset updates the Data Infrastructure baseline by introducing a high-moat, non-textual modality for training future foundation models.
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San Francisco AI startup Conduit amassed ~10,000 hours of brain-to-language data, the world's largest dataset of its kind from thousands of volunteers. This monumental six-month effort with custom hardware aims to enable thought-to-text AI. This breakthrough could profoundly advance brain-computer interfaces, opening new avenues for communication and human-AI interaction.
#AI #Neuroscience #BrainComputerInterface #ThoughtToText #TechInnovation