technology take machines beyond human? hello, good to meet you. thank you for having us. thanks very much. neuroscientist alexander has spent a decade trying to understand how the rain works. iiii trying to understand how the rain works- trying to understand how the rain works. if we want to build intelligent rain works. if we want to build intelligent machines, - rain works. if we want to build intelligent machines, maybe i rain works. if we want to build i intelligent machines, maybe we want to make things that act more like human brains. that is kind of what the into neuroscience actually. this ear his neuroscience actually. this year his team neuroscience actually. this year his team had - neuroscience actually. this year his team had a - year his team had a breakthrough. using the same a! take that can understand language, they built a computer that can read minds. hide language, they built a computer that can read minds. that can read minds. we scan eole s that can read mi
brain activity are you looking for? ~ ., ., , ., for? we are looking for brain activity that for? we are looking for brain activity that is for? we are looking for brain activity that is related - for? we are looking for brain activity that is related to - activity that is related to specific ideas or specific words that appear in the stories so for example, whenever you hear somebody talk about parking a car there are certain patterns of activity in the brain that will be present that reliable reliably correspond to that kind of idea and we re trying to up that mapping from this very large data set. the computer looks for patterns in the vast amounts of data from the scanner. with enough training it can translate brain activity into words. to it can translate brain activity into words- it can translate brain activity into words. to see how well it works, into words. to see how well it works. we into words. to see how well it works, we picked into words. to see how well it