neuroscientist alexander huth has spent a decade trying to understand how the brain works. machines, maybe we want to make things that act more like human brains. so, that's kind of what got me into neuroscience, actually. this year, his team had a breakthrough. using the same ai tech that can understand language, they've built a computer that can read minds. we scan people's brains with an fmri scanner while theyjust listen to stories. so, we track how their brains respond while they're listening to hours and hours of stories. the team in texas has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build up that mapping from this very large dat

neuroscientist alexander huth has spent a decade trying to understand how the brain works. things that act more like human brains. so that's kind of what got me into neuroscience. this year, his team had a breakthrough. using ai technology that can understand language, they've built a computer that can read minds. we scan people's brains with an fmri scanner while theyjust listen to stories. so we track how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build up that mapping from this very large dataset. the computer looks for patterns in the vast amount

neuroscientist alexander huth has spent a decade trying to understand how the brain works. build intelligent machines, maybe we want to make things that act more like human brains. so that's kind of what got me into neuroscience. this year, his team had a breakthrough. using ai technology that can understand language, they've built a computer that can read minds. we scan people's brains with an fmri scanner while theyjust listen to stories. so we track how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build up that mapping from this very large data set.

neuroscientist alexander huth has spent a decade trying to understand how the brain works.nt to make things that act more like human brains. so that's kind of what got me into neuroscience. this year, his team had a breakthrough. using ai technology that can understand language, they've built a computer that can read minds. we scan people's brains with an fmri scanner while theyjust listen to stories. so we track how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build up that mapping from this very large data set. the computer looks for patterns in the

neuroscientist alexander huth has spent a decade trying to understand how the brain works.e like human brains. so that's kind of what got me into neuroscience. this year, his team had a breakthrough. using ai technology that can understand language, they've built a computer that can read minds. we scan people's brains with an fmri scanner while theyjust listen to stories. so we track how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build up that mapping from this very large dataset. the computer looks for patterns in the vast amounts of data from the s

neuroscientist alexander huth has spent a decade trying to understand how the brain works. how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains.

neuroscientist alexander huth has spent a decade trying to understand how the brain works.t to build intelligent machines, maybe we want to make things that act more like human brains. so that's kind of what got me into neuroscience. this year, his team had a breakthrough. using ai technology that can understand language, they've built a computer that can read minds. we scan people's brains with an fmri scanner while theyjust listen to stories. so we track how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build up that mapping from this very large data

neuroscientist alexander huth has spent a decade trying to understand how the brain works.n people's brains with an fmri scanner while theyjust listen to stories. so we track how their brains respond while they're listening to hours and hours of stories. the team has trained the al on their own brains. as they listen to stories inside the scanner, the computer watches what happens. what sort of brain activity are you looking for? we're looking for brain activity that's 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 reliably correspond to that kind of idea. and we're trying to build 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. so the lead scientist is listening to a story for us. the war of the worlds. the martians in the pit had turned the heat ray on. a deep,