🧠Meta AI: Decoding Thoughts to Text

Meta AI researchers have made progress in developing non-invasive brain-to-text technology, primarily using MEG, which shows higher accuracy than EEG in decoding brain activity into written sentences. Their work has revealed insights into the hierarchical way the brain processes language, identifying a multi-layered neural code. While current technology using MEG requires specialized equipment and controlled environments, future applications could significantly aid communication for those with disabilities and enhance human-computer interaction. Limitations include the need for stationary subjects and testing on healthy individuals, but ongoing research aims to improve accuracy, portability, and applicability across diverse populations.