Meta AI hat eine Methode entwickelt, um Sprache aus Gehirnaktivität zu lesen. Dies könnte die Kommunikation für viele Menschen revolutionieren.
In Kürze
- KI entschlüsselt 80 % der getippten Zeichen aus Gehirnaufzeichnungen.
- Technologien MEG und EEG zeigen unterschiedliche Präzision.
- Ethische Herausforderungen und Datenschutzfragen müssen adressiert werden.
Meta AI’s Breakthrough in Neuroscience and Artificial Intelligence
Meta AI has achieved a remarkable breakthrough in the world of neuroscience and artificial intelligence: the development of a method that allows language to be directly read from the brain. This may almost seem like telepathy, but it is the result of intensive research in collaboration with the Basque Center on Cognition, Brain and Language (BCBL). Here, AI is used to reconstruct spoken sentences based on brain activity.
Techniques Used in the Study
Two state-of-the-art techniques were used for the study: Magnetoencephalography (MEG) and Electroencephalography (EEG). 35 subjects were monitored while typing, and the AI impressively deciphered 80% of the typed characters from brain recordings. Particularly noteworthy is that MEG was twice as precise as EEG. This technology could especially support people who can no longer speak after an injury. However, there are technical challenges, such as the need for special magnetic shielding for MEG.
Insights into Brain Language Processing
Another interesting aspect of this research is that AI also provides insights into how our brain processes language. Scientists were able to determine exactly when thoughts are translated into words and finally into motor actions, such as moving fingers while typing. This knowledge could help develop AI systems that understand and process human language even better.
Challenges and Ethical Considerations
Despite these remarkable advances, researchers face numerous challenges. The AI needs to become even more precise, and the conditions under which subjects are examined with MEG are far from practical. Additionally, the technology raises ethical questions, particularly regarding the privacy protection of thoughts. It is crucial that this technology is developed safely and responsibly.
Collaborative Research Approach
Meta AI pursues a collaborative research approach and relies on open access to data to accelerate progress in this area. This collaboration helps to find faster solutions to complex problems and to advance the development of effective and ethically justifiable AI systems.
Significance of the Research
Overall, this research represents a significant step in connecting neuroscience and technology. The ability to decode language from brain signals could support people with speech problems and fundamentally change the interaction between humans and machines. But we are only at the beginning of this exciting journey, and further research is needed to both refine the technology and ensure its responsible use. The open collaboration between scientists worldwide will play a key role in this.
Quellen
- Quelle: Meta AI
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