Auteur/autrice : noflux (Page 138 of 625)

«We present a method to create universal, robust, targeted adversarial image patches in the real world. The patches are universal because they can be used to attack any scene, robust because they work under a wide variety of transformations, and targeted because they can cause a classifier to output any target class. These adversarial patches can be printed, added to any scene, photographed, and presented to image classifiers; even when the patches are small, they cause the classifiers to ignore the other items in the scene and report a chosen target class».

Source : Adversarial Patch – Research Article | DeepAI

«Jusqu’à la fin des années 2000, la profession souffrait de ce que Pierre Bazile appelle le ‘syndrome de l’atelier de cartographie au bout du couloir : les employeurs considéraient la géomatique comme un domaine périphérique et monolithique. C’était avant que la branche du numérique s’aperçoive de l’importance de la géomatique, qui touche à tous les domaines’»

Source : Le géomaticien arrive sur le marché du travail

«Goodfellow’s friends were just as adamant that this method wouldn’t work, either. So when he got home that night, he built the thing. « I went home still a little bit drunk. And my girlfriend had already gone to sleep. And I was sitting there thinking: ‘My friends at the bar are wrong!' » he remembers. « I stayed up and coded GANs on my laptop. » The way he tells it, the code worked on the first try. « That was really, really lucky, » he says, « because if it hadn’t of worked, I might have given up on the idea. »»

Source : Google’s Dueling Neural Networks Spar to Get Smarter, No Humans Required | WIRED

The narrow office specialist is increasingly a thing of the past

«General-purpose computers push back against Smith’s concern. Design a pretty graph, search the internet for cartoons for a presentation, use a price-comparison site to book some travel, craft an eloquent post on LinkedIn, and office life starts to look mildly entertaining — even if there isn’t much time left to do the jobs for which we’re paid. Setting games and social media aside, there are plenty of ways for workers to use their computers to do their jobs less efficiently while having more fun, perhaps without even meaning to. I suspect this is but a small part of the productivity slowdown. And I feel ambivalent about it. A day full of distractions is rarely satisfying. On the other hand, I would not wish to spend each hour sharpening 5,000 pins».

Source : Computers are making generalists of us all

«Arsenal’s smart assistant AI suggests settings based on your subject and environment. It uses an advanced neural network to pick the optimal settings for any scene (using similar algorithms to those in self driving cars). Like any good assistant, it then lets you control the final shot. Here’s how it works…»

Source : Meet Arsenal, the Smart Camera Assistant | Features

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