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But it does come up with surprising results. i just love the way that some of the thought processes were working. you didn t understand what on earth it was coming up with sometimes it became obsessed with the dogs for several days, but when it was fed in some information, some keyboards, some imagery of keyboards, nick plays keyboards, it came back with a zebra. now, that s my kind of surrealist game. black and white. yeah, of course, stripes, it makes perfect sense. i think for a bass guitar it came back with a fish, but actually if you think about it, i suppose, it had been through its dictionary, sea bass. and then there were the band s faces, created by broken down data on their images being totally rebuilt by huxley. it made the images of us, we did it with our iphones, just literally lip syncing so that it could see and learn the dimensions of our faces and what all the measurements were as ourjaws moved. and it took that in, ....
Huxley. and. than i was introduced to huxle . , and. than i was introduced to huxle. , , and. than i was introduced to huxle. , , ~ ., huxley. huxley is the ai that was trained huxley. huxley is the ai that was trained to huxley. huxley is the ai that was trained to get huxley. huxley is the ai that was trained to get creative. l was trained to get creative. this is where it all starts. the process of making an ai the process of making an a! video involves teaching the ai how a human would think. so first of all, you ve got to really take a close look at what is going on inside a human s rain, and that can happen right here. it’s human s rain, and that can happen right here. it s med scanner. happen right here. it s med scanner, and happen right here. it s med scanner, and what - happen right here. it s med scanner, and what it - happen right here. it s med scanner, and what it does l happen right here. it s med| scanner, and what it does is happen right here. it s med i ....
Of course, ever since the invention of the music video, music icons haven tjust had to think about how their music sounds, but also how it looks. lara: they ve sold over 100 million records, are in their fifth decade of performing, and have shared a stage with many a great act. but duran duran have been trying a new type of collaboration the band s letting artificial intelligence loose on creating the video for their new song, invisible. how is a machine brain going to make a video? how is it going to construct it? how is it going to conceive ideas? how can we feed in enough information to get something valid back? and.then i was introduced to huxley. huxley is the a! that was trained to get creative. this is where it all starts. ....
The process of making an a! video involves teaching the ai how a human would think. so first of all, you ve got to really take a close look at what is going on inside a human s brain, and that can happen right here. it s meg scanner, or a magnetoencephalography scanner, and what it does is it uses really strong magnets to measure very sensitive signals firing in the top part of the brain, known as the cortex, and that is where we think a lot of the information for creativity and things like, other tasks like this are encoded. so if you want to imbue them into ai, we need to first measure them in humans and understand what is going on and then translate that over to the code. this sort of data was used to teach huxley to interpret ....
Fed in some information, some keyboards, some imagery of keyboards, some imagery of keyboards, it came back with a zebra. that is my kind of surrealist game. of course, stripes, it makes perfect sense. fora stripes, it makes perfect sense. for a bass guitar it came back with a fish, but actually if you think about it, i suppose, it had been through its dictionary, seabass. ihmd its dictionary, seabass. and then there its dictionary, seabass. and then there were its dictionary, seabass. and then there were the - its dictionary, seabass. and then there were the band s faces, created by broken down data on their images being totally rebuilt by huxley. it made the images of us, we did it without iphones, just literally lip syncing so that could see and learn the dimensions of ourfaces could see and learn the dimensions of our faces and what all the measurements were as ourjaws moved, and it looked at him, and made its versions of us. versions of us. but a music video also versions o ....