{"id":2820,"date":"2023-01-03T17:49:55","date_gmt":"2023-01-03T17:49:55","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/01\/03\/nvidia-reveals-gaming-creator-robotics-auto-innovations-at-ces\/"},"modified":"2023-01-03T17:49:55","modified_gmt":"2023-01-03T17:49:55","slug":"nvidia-reveals-gaming-creator-robotics-auto-innovations-at-ces","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/01\/03\/nvidia-reveals-gaming-creator-robotics-auto-innovations-at-ces\/","title":{"rendered":"NVIDIA Reveals Gaming, Creator, Robotics, Auto Innovations at CES"},"content":{"rendered":"<div data-url=\"https:\/\/blogs.nvidia.com\/blog\/2023\/01\/03\/gaming-creator-robotics-auto-ces\/\" data-title=\"NVIDIA Reveals Gaming, Creator, Robotics, Auto Innovations at CES\" data-hashtags=\"\">\n<p>Powerful new GeForce RTX GPUs, a new generation of hyper-efficient laptops and new <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\">Omniverse<\/a> capabilities and partnerships across the automotive industry were highlights of a news-packed address ahead of this week\u2019s CES trade show in Las Vegas.<\/p>\n<p>\u201cAI will define the future of computing and this has influenced much of what we\u2019re covering today,\u201d said Jeff Fisher, senior vice president for gaming products at NVIDIA, as he kicked off the presentation.<\/p>\n<p>Fisher was joined by several leaders from NVIDIA to introduce products and partnerships across gaming and content creation, robotics and next-generation automobiles.<\/p>\n<p>The headline news:<\/p>\n<\/p>\n<h2><b>Introducing GeForce RTX 40 Series Laptops, RTX 4070 Ti Graphics Cards and DLSS 3 Games<\/b><\/h2>\n<p>Fisher said the performance and power efficiency of the <a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/laptops\/\">NVIDIA GeForce RTX 40 Series Laptop GPUs<\/a> enable the greatest ever generational leap, including 14-inch gaming and creating powerhouse laptops, starting at $999 in February.<\/p>\n<p>New GeForce RTX 4070 Ti graphics cards for desktops are faster than last generation\u2019s RTX 3090 Ti at nearly half the power, bringing the NVIDIA Ada Lovelace architecture down to $799, with availability starting Jan. 5.<\/p>\n<p>And DLSS 3 is being adopted by developers faster than any prior NVIDIA tech, with 50 released and upcoming titles, including <i>Witchfire<\/i>, <i>The Day Before<\/i>, <i>Warhaven<\/i>, <i>THRONE AND LIBERTY<\/i> and <i>Atomic Heart<\/i>.<\/p>\n<p>In addition, RTX 4080 performance is coming to the <a href=\"https:\/\/www.nvidia.com\/en-us\/geforce-now\/\">NVIDIA GeForce NOW<\/a> cloud-gaming service. As a result, Fisher said millions more gamers will have access to the NVIDIA Ada architecture with GeForce NOW\u2019s Ultimate membership.<\/p>\n<p>The new tier will bring NVIDIA Reflex and 240 frames per second streaming to the cloud for the first time, along with full ray tracing and DLSS 3 in games like <i>Portal With RTX<\/i>.<\/p>\n<p>Momentum for <a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/rtx\/\">NVIDIA RTX<\/a> continues to build, Fisher said. \u201cCreating has grown beyond photos and videos to virtual worlds rendered with 3D cinematic graphics and true-to-life physics,\u201d Fisher said. \u201cThe RTX platform is powering this growth.\u201d<\/p>\n<p>Ray tracing and AI are defining the next generation of content, and <a href=\"https:\/\/www.nvidia.com\/en-us\/studio\/\">NVIDIA Studio<\/a> is the platform for this new breed of content creators. The heartbeat of Studio is found in <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\">NVIDIA Omniverse<\/a>, where creators can connect accelerated apps and collaborate in real time.<\/p>\n<figure id=\"attachment_61648\" aria-describedby=\"caption-attachment-61648\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-61648 size-full\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/01\/CES23_KEYNOTE_MASTER_r4.00_29_01_26.Still004.png\" alt=\"\" width=\"2048\" height=\"1152\"><figcaption id=\"caption-attachment-61648\" class=\"wp-caption-text\">NVIDIA\u2019s Stephanie Johnson, vice president of consumer marketing, introduced a new suite of generative AI tools and experimental plug-ins that harness the power of AI.<\/figcaption><\/figure>\n<p>Built with NVIDIA RTX, Omniverse is a platform enabling 3D artists to connect their favorite tools from Adobe, Autodesk, SideFX, Unreal Engine and more. And Omniverse now has a new Connector for Unity, said Stephanie Johnson, vice president of consumer marketing at NVIDIA.<\/p>\n<p>Johnson introduced a suite of new generative AI tools and experimental plug-ins using the power of AI as the ultimate creative assistant. <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/apps\/audio2face\/\">Audio2Face<\/a> and Audio2Gesture generate animations from an audio file. The <a href=\"https:\/\/developer.nvidia.com\/blog\/rapidly-generate-3d-assets-for-virtual-worlds-with-generative-ai\/\">AI ToyBox<\/a> by NVIDIA Research lets users generate 3D meshes from 2D inputs.<\/p>\n<p>Companies have used generative AI technology to build Omniverse Connectors and extensions. <a href=\"https:\/\/www.move.ai\/\">Move.AI<\/a>\u2019s Omniverse extension, for example, enables video-to-animation. <a href=\"https:\/\/www.lumirithmic.com\/\">Lumirithmic<\/a> generates 3D mesh for heads from facial scans. And <a href=\"https:\/\/elevate3d.ai\/\">Elevate3D<\/a> generates photorealistic 3D visualizations of products from 360-degree video recordings.<\/p>\n<p>Johnson also announced that <a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/rtx-remix\/\">NVIDIA RTX Remix<\/a>, which is built on Omniverse and is \u201cthe easiest way to mod classic games,\u201d will be entering early access soon. \u201cThe modding community can\u2019t wait to get their hands on Remix,\u201d she said.<\/p>\n<h2><b>NVIDIA Isaac Sim Brings Significantly Improved Features, Tools for Developing Intelligent Robots\u00a0<\/b><\/h2>\n<p>Simulation plays a vital role in the lifecycle of a robotics project, explained Deepu Talla, vice president of embedded and edge computing at NVIDIA. Partners are using <a href=\"https:\/\/developer.nvidia.com\/isaac-sim\">NVIDIA Isaac Sim<\/a> to create digital twins that help speed the training and deployment of intelligent robots.<\/p>\n<figure id=\"attachment_61651\" aria-describedby=\"caption-attachment-61651\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-61651 size-full\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/01\/CES23_KEYNOTE_MASTER_r4.00_33_58_25.Still007.png\" alt=\"\" width=\"2048\" height=\"1152\"><figcaption id=\"caption-attachment-61651\" class=\"wp-caption-text\">NVIDIA\u2019s Deepu Talla, vice president of embedded and edge computing, announced the next release of Isaac Sim, NVIDIA\u2019s robotics simulation application and synthetic data generation tool.<\/figcaption><\/figure>\n<p>To revolutionize the way the robotics ecosystem develops the next generation of autonomous robots, Talla announced major updates to the next release of Isaac Sim. This includes improved sensor and lidar support to more accurately model real-world performance, a new conveyor-building tool, a new utility to add people to the simulation environment, a collection of new sim-ready warehouse assets and a host of new popular robots that come pre-integrated.<\/p>\n<p>For the open-source ROS developer community, this release upgrades support for ROS 2 Humble and Windows, Talla added. And for robotics researchers, NVIDIA is introducing a new tool called <a href=\"https:\/\/isaac-orbit.github.io\/\">Isaac ORBIT<\/a>, which provides operating environments for manipulator robots. NVIDIA has also improved <a href=\"https:\/\/developer.nvidia.com\/isaac-gym\">Isaac Gym<\/a> for reinforcement learning and updated <a href=\"https:\/\/docs.omniverse.nvidia.com\/app_isaacsim\/app_isaacsim\/tutorial_cortex_1_overview.html\">Isaac Cortex<\/a> for collaborative robot programming.<\/p>\n<p>\u201cWe are committed to advancing robotics and arguably investing more than anyone else in the world,\u201d Talla said. \u201cWe are well on the way to having a thousand to million times more virtual robots for every physical robot deployed.\u201d<\/p>\n<h2><b>Mercedes-Benz to Create Digital Twins; Foxconn Building EVs on NVIDIA DRIVE; Geforce NOW Streams to Cars<\/b><b><br \/><\/b><\/h2>\n<p>The <a href=\"https:\/\/developer.nvidia.com\/drive\">NVIDIA DRIVE<\/a> platform is open and easy to program, said Ali Kani, vice president of automotive at NVIDIA.<\/p>\n<p>Hundreds of partners across the automotive ecosystem are now developing software on NVIDIA DRIVE, including 20 of the top 30 manufacturers building new energy vehicles, many of the industry\u2019s top tier one manufacturers and software makers, plus eight of the largest 10 trucking and robotaxi companies.<\/p>\n<p>It\u2019s a number that continues to grow, with Kani announcing a <a href=\"https:\/\/nvidianews.nvidia.com\/news\/foxconn-automated-electric-vehicles-nvidia-drive\/\">partnership with Foxconn<\/a>, the world\u2019s largest technology manufacturer and service provider, to build electric vehicles based on <a href=\"https:\/\/developer.nvidia.com\/drive#drive-hyperion\">NVIDIA DRIVE Hyperion<\/a>.<\/p>\n<figure id=\"attachment_61654\" aria-describedby=\"caption-attachment-61654\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-61654 size-full\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/01\/CES23_KEYNOTE_MASTER_r4.00_46_54_17.Still009.png\" alt=\"\" width=\"2048\" height=\"1152\"><figcaption id=\"caption-attachment-61654\" class=\"wp-caption-text\">NVIDIA\u2019s Ali Kani, vice president of automotive, announced a partnership with Foxconn, that GeForce NOW will be \u201ccoming to screens in your car\u201d and that Mercedes-Benz is using NVIDIA digital twin technology to plan and build more efficient production facilities.<\/figcaption><\/figure>\n<p>\u201cWith Hyperion adoption, Foxconn will manufacture vehicles with leading electric range as well as state-of-the-art AV technology while reducing time to market,\u201d Kani said.<\/p>\n<p>Kani touched on how, as next-generation cars become autonomous and electric, interiors are transformed into mobile living spaces, complete with the same entertainment available at home. GeForce NOW will be \u201ccoming to screens in your car,\u201d Kani said.<\/p>\n<p>Kani also announced several <a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/1\/3\/drive-sim-ix-vehicle-interior-experiences\/\">DRIVE partners are integrating GeForce NOW<\/a>, including Hyundai Motor Group, BYD and Polestar.<\/p>\n<p>While gamers will enjoy virtual worlds from inside their cars, tools such as the <a href=\"https:\/\/blogs.nvidia.com\/blog\/2021\/08\/10\/what-is-the-metaverse\/\">metaverse<\/a> are critical to the development and testing of new autonomous vehicles.<\/p>\n<p>Kani announced that <a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/1\/3\/mercedes-benz-next-gen-factories-omniverse\/\">Mercedes-Benz is using digital twin technology<\/a> to plan and build more efficient production facilities. \u201cThe applications for Omniverse in the automotive market are staggering,\u201d Kani said.<\/p>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/2023\/01\/03\/gaming-creator-robotics-auto-ces\/<\/p>\n","protected":false},"author":0,"featured_media":2821,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2820"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2820"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2820\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2821"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2820"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}