{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/672107ca8c8e0138f0dafc6f/67bb18be86a56284d0e386d9?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Meta's Brain2Qwerty","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/672107ca8c8e0138f0dafc6f/1740314791880-d62ee37a-20ff-40f8-9063-34c96f0227f4.jpeg?height=200","description":"<p><strong>Meta's FAIR lab is researching how AI can decode language from brain activity.</strong>&nbsp;</p><p>They have made breakthroughs in decoding sentences from non-invasive brain recordings, achieving up to 80% accuracy in reconstructing typed characters.&nbsp;</p><p><strong>This research aims to create brain-computer interfaces for those who have lost the ability to speak.</strong>&nbsp;</p><p>Furthermore, AI is being used to understand how the brain transforms thoughts into words and actions, pinpointing the moment of conversion.&nbsp;</p><p><strong>Meta also supports open-source AI development to enable health breakthroughs,</strong>&nbsp;as exemplified by companies using their models for congenital heart defect detection and endoscopy analysis.</p>","author_name":"Ivan Moreira"}