yoshua bengio, thank ou so bio weapons. yoshua bengio, thank you so much. _ bio weapons.a bengio, thank you so much, that _ bio weapons. yoshua bengio, thank you so much, that all _ bio weapons. yoshua bengio, thank you so much, that all we _ bio weapons. yoshua bengio, thank you so much, that all we have - bio weapons. yoshua bengio, thank you so much, that all we have time| you so much, that all we have time for. katie razzall is back in the hot seat tomorrow. till then, bye—bye. breaking news from around the world 24 breaking news from around the world 2a hours a day — this is bbc news. you can find more details on our website. around the world and across the uk. this is bbc news. let's look at some other stories making news in the uk. a police officer who blackmailed and threatened more than 200 young girls into sending him explicit images of themselves over snapchat has beenjailed for life, with a minimum term of 12 years. lewis edwards groomed girls aged between 10—16. two metropolitan police officers have been sacked after being found guilty of gross misconduct, fo

we are nowjoined by yoshua bengio, a leading expert in artificial intelligence, who also reviewed the of. are many scenarios one can think of but when there will be ai systems

. >> in 2019, hinton and collaborators yann lecun and yoshua bengio won the turing award, the nobel prizetand how their work on artificial networks helped machines learn to learn, let us take you to a game. look at that, oh my goodness! >> this is google's ai lab in london, which we first showed you this past april. geoffrey hinton wasn't involved in this soccer project, but these robots are a great example of machine learning. the thing to understand is that the robots were not programmed to play soccer. they were told to score. they had to learn how on their own. >> oh, goal! in general, here's how ai does it. hinton and his collaborators created software in layers with each layer handling part of the problem. that's the so-called neural network. but this is the key. when, for example, the robot scores, a message is sent back down through all of the layers that says "that pathway was right." likewise, when an answer is wrong, that message goes down through the network. so correct connections get stronger. wrong connections get weaker, and by trial and error, the machine teaches itself.