{"id":3418,"date":"2020-05-22T13:00:00","date_gmt":"2020-05-22T13:00:00","guid":{"rendered":"https:\/\/aviancetechnologies.com\/blog\/blog\/for-pac-mans-40th-birthday-nvidia-uses-ai-to-make-new-levels\/"},"modified":"2020-05-22T13:00:00","modified_gmt":"2020-05-22T13:00:00","slug":"for-pac-mans-40th-birthday-nvidia-uses-ai-to-make-new-levels","status":"publish","type":"post","link":"https:\/\/aviancetechnologies.com\/blog\/for-pac-mans-40th-birthday-nvidia-uses-ai-to-make-new-levels\/","title":{"rendered":"For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels"},"content":{"rendered":"<p>\u00a0\u00a0<br \/>\n[responsivevoice_button rate=&#8221;1\u2033 pitch=&#8221;1.2\u2033 volume=&#8221;0.8\u2033 voice=&#8221;US English Female&#8221; buttontext=&#8221;Story in Audio&#8221;]<\/p>\n<h2>For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels<\/h2>\n<p><\/p>\n<div id=\"drr-container\" itemprop=\"articleBody\">\n<p><em>Pac-Man<\/em> turns 40 today, and even though the days of quarter-munching arcade machines in hazy bars are long behind us, the legendary game\u2019s still helping to push the industry forward. On Friday, Nvidia announced that its researchers have trained an AI to create working <em>Pac-Man <\/em>games <em>without<\/em> teaching it about the game\u2019s rules or giving it access to an underlying game engine. Nvidia\u2019s \u201cGameGAN\u201d simply watched 50,000 <em>Pac-Man <\/em>games to learn the ropes.<\/p>\n<p>That\u2019s an impressive feat in its own right, but Nvidia hopes the \u201cgenerative adversarial network\u201d (GAN) technology underpinning the project can be used in the future to help developers create games faster and train autonomous robots.<\/p>\n<p>\u201cThis is the first research to emulate a game engine using GAN-based neural networks,\u201d Nvidia researcher Seung-Wook Kim said in a press release. \u201cWe wanted to see whether the AI could learn the rules of an environment just by looking at the screenplay of an agent moving through the game. And it did.\u201d<\/p>\n<figure class=\"large\">\n<div class=\"embed-wrapper\">\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/BYt6r8z6pUY\" width=\"1193\" height=\"671\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"> <\/iframe><\/p>\n<\/div>\n<\/figure>\n<p>GameGAN works by using two competing neural networks, running on four of Nvidia\u2019s GV100 \u201cVolta\u201d GPUs. A discriminator network plays the actual game, while a generator network creates new frames of the game in real-time, responding to the discriminator\u2019s actions. After 50,000 matches, Nvidia says GameGAN is now smart enough to create fully functional <em>Pac-Man<\/em> games on the fly, to the point that the company plans to release a playable version of its AI-generated <em>Pac-Man<\/em> matches later this year.<\/p>\n<p>Nvidia hopes this is just the beginning. In a press briefing, Nvidia\u2019s Rev Lebaredian and Sanja Fidler said that generative adversarial networks like GameGAN could eventually\u00a0 make it easier for developers to create games. The concept could be used to automatically create basic games like <em>Pac-Man<\/em> or a version of the <a href=\"https:\/\/www.youtube.com\/watch?v=H0_NZDSqR3Y\" rel=\"nofollow\"><em>Marbles RTX<\/em> demo<\/a> Nvidia showed off at GTC 2020, Lebaredian said. You could theoretically even train the AI to create some sort of original \u201cmash-up\u201d game using behaviors and models from a handful of different games.<\/p>\n<p>But there seems to be even more promise in tools that work at a deeper level of the software. Without the need to teach GameGAN fundamental rules or even provide it with a game engine, Nvidia envisions the technology being used to prototype level designs and character models quickly in the future. \u201cNo matter the game, the GAN can learn its rules simply by ingesting screen recordings and agent keystrokes from past gameplay,\u201d Nvidia\u2019s release says. \u201cGame developers could use such a tool to automatically design new level layouts for existing games, using screenplay from the original levels as training data.\u201d<\/p>\n<figure class=\"large \"><a class=\"zoom\" href=\"https:\/\/images.idgesg.net\/images\/article\/2020\/05\/gta-v-100842858-orig.jpg\" rel=\"nofollow\"><img border=\"0\" alt=\"gta v\" width=\"1200\" height=\"675\" data-imageid=\"100842858\" data-license=\"Supplied Art\" data-original=\"https:\/\/images.idgesg.net\/images\/article\/2020\/05\/gta-v-100842858-large.jpg\" class=\"lazy\" loading=\"lazy\"\/><\/a> <small class=\"credit\">Rockstar<\/small><figcaption>\n<p>Grand Theft Auto V\u2019s NPCs on city streets.<\/p>\n<\/figcaption><\/figure>\n<p>Lebaredian pointed to the living world of <em>Grand Theft Auto V<\/em> as an example, saying that GameGAN could be used to help develop hordes of roaming NPCs and determine how they interact with their environment. The technology could help developers try out new environments quickly in a later iteration as well, Nvidia\u2019s announcement says.<\/p>\n<p>\u201cSince the model can disentangle the background from the moving characters, it\u2019s possible to recast the game to take place in an outdoor hedge maze, or swap out <em>Pac-Man<\/em> for your favorite emoji. Developers could use this capability to experiment with new character ideas or game themes.\u201d<\/p>\n<aside class=\"nativo-promo nativo-promo-1 smartphone tablet desktop\" id=\"\"\/>\n<p>GameGAN could also be used to help train autonomous robots. Before robots get plopped onto assembly lines, they\u2019re trained on the rules of environment using a simulator. Creating those simulators can take a lot of time. Nvidia thinks GameGAN could eventually be used to train robots using videos of activities happening in the real world.<\/p>\n<figure class=\"medium right\"><a class=\"zoom\" href=\"https:\/\/images.idgesg.net\/images\/article\/2020\/05\/embargoed-nvidia-gamegan-researcher-seung-wook-kim-100842857-orig.jpg\" rel=\"nofollow\"><img border=\"0\" alt=\"embargoed nvidia gamegan researcher seung wook kim\" width=\"300\" height=\"309\" data-imageid=\"100842857\" data-license=\"Supplied Art\" data-original=\"https:\/\/images.idgesg.net\/images\/article\/2020\/05\/embargoed-nvidia-gamegan-researcher-seung-wook-kim-100842857-medium.jpg\" class=\"lazy\" loading=\"lazy\"\/><\/a> <small class=\"credit\">Nvidia<\/small><figcaption>\n<p>Nvidia researcher Seung Wook Kim, the lead author on the Pac-Man GameGAN project.<\/p>\n<\/figcaption><\/figure>\n<p>\u201cWe could eventually have an AI that can learn to mimic the rules of driving, the laws of physics, just by watching videos and seeing agents take actions in an environment,\u201d Fidler said. \u201cGameGAN is the first step toward that.\u201d<\/p>\n<p>Those are far-out hopes, though. Currently, GameGAN can output only about 50 frames per second at a 128-pixel resolution. It <em>is <\/em>a research project, and not optimized for high-resolution video output just yet. Nevertheless, it\u2019s exciting stuff\u2014and we\u2019ll take any excuse to spend more time playing <em>Pac-Man<\/em>.<\/p>\n<div class=\"end-note\">\n<p>\t\t<!-- blx4 #2008 blox4.html  --><\/p>\n<div id=\"\" class=\"blx blxParticleendnote blxM2008  blox4_html  blxC24068\">Note: When you purchase something after clicking links in our articles, we may earn a small commission. Read our affiliate link policy for more details.<\/div>\n<\/div><\/div>\n<div class=\"post-item-metadata entry-meta\">\n<p class=\"has-background has-very-light-gray-background-color\">Disclaimer: Content may be edited for style and length.\u00a0<a class=\"newsium-categories category-color-1\" href=\"https:\/\/www.pcworld.com\/article\/3545349\/for-pac-mans-40th-birthday-nvidia-uses-ai-to-make-new-levels.html#tk.rss_all\" target=\"_blank\" rel=\"noopener noreferrer\">Story Source<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0\u00a0 [responsivevoice_button rate=&#8221;1\u2033 pitch=&#8221;1.2\u2033 volume=&#8221;0.8\u2033 voice=&#8221;US English Female&#8221; buttontext=&#8221;Story in Audio&#8221;] For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels Pac-Man turns 40 today, and even though the days of quarter-munching arcade machines in hazy bars are long behind us, the legendary game\u2019s still helping to push the industry forward. On Friday, Nvidia &#8230; <a title=\"For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels\" class=\"read-more\" href=\"https:\/\/aviancetechnologies.com\/blog\/for-pac-mans-40th-birthday-nvidia-uses-ai-to-make-new-levels\/\" aria-label=\"Read more about For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":3419,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[26],"tags":[],"class_list":["post-3418","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-pc-laptops"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>For Pac-Man&#039;s 40th birthday, Nvidia uses AI to make new levels - Aviance Technologies<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"For Pac-Man&#039;s 40th birthday, Nvidia uses AI to make new levels - Aviance Technologies\" \/>\n<meta property=\"og:description\" content=\"\u00a0\u00a0 [responsivevoice_button rate=&#8221;1\u2033 pitch=&#8221;1.2\u2033 volume=&#8221;0.8\u2033 voice=&#8221;US English Female&#8221; buttontext=&#8221;Story in Audio&#8221;] For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels Pac-Man turns 40 today, and even though the days of quarter-munching arcade machines in hazy bars are long behind us, the legendary game\u2019s still helping to push the industry forward. 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Aviance Technologies","robots":{"index":"noindex","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"og_locale":"en_US","og_type":"article","og_title":"For Pac-Man's 40th birthday, Nvidia uses AI to make new levels - Aviance Technologies","og_description":"\u00a0\u00a0 [responsivevoice_button rate=&#8221;1\u2033 pitch=&#8221;1.2\u2033 volume=&#8221;0.8\u2033 voice=&#8221;US English Female&#8221; buttontext=&#8221;Story in Audio&#8221;] For Pac-Man&#8217;s 40th birthday, Nvidia uses AI to make new levels Pac-Man turns 40 today, and even though the days of quarter-munching arcade machines in hazy bars are long behind us, the legendary game\u2019s still helping to push the industry forward. 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