3 articles
A researcher has compiled an index of datasets used to reconstruct what people see from brain activity, potentially accelerating development of visual BCIs and neuroprosthetics.
New framework resolves the historic trade-off between acoustic richness and linguistic clarity in neural speech decoding, achieving 4.0/5.0 intelligibility with minimal training data.
Researchers adapted automated fuzzing from software security to stress-test machine learning models that control neural implants, revealing widespread violations of biophysical safety limits in retinal and cortical devices.
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