{"id":3041,"date":"2023-06-20T20:17:47","date_gmt":"2023-06-20T20:17:47","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/06\/20\/nvidia-ceo-creators-will-be-supercharged-by-generative-ai\/"},"modified":"2023-06-20T20:17:47","modified_gmt":"2023-06-20T20:17:47","slug":"nvidia-ceo-creators-will-be-supercharged-by-generative-ai","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/06\/20\/nvidia-ceo-creators-will-be-supercharged-by-generative-ai\/","title":{"rendered":"NVIDIA CEO: Creators Will Be \u201cSupercharged\u201d by Generative AI"},"content":{"rendered":"
\n

Generative AI will \u201csupercharge\u201d creators across industries and content types, NVIDIA founder and CEO Jensen Huang said today at the Cannes Lions Festival, on the French Riviera.<\/p>\n

\u201cFor the very first time, the creative process can be amplified in content generation, and the content generation could be in any modality \u2014 it could be be text, images, 3D, videos,\u201d Huang said in a conversation with Mark Read, CEO of WPP \u2014 the world\u2019s largest marketing and communications services company.<\/p>\n

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Huang and Read backstage at Cannes Lions<\/figcaption><\/figure>\n

At the event attended by thousands of creators, marketers and brand execs from around the world, Huang outlined the impact of AI on the $700 billion digital advertising industry. He also touched on the ways AI can enhance creators\u2019 abilities, as well as the importance of responsible AI development.<\/p>\n

\u201cYou can do content generation at scale, but infinite content doesn\u2019t imply infinite creativity,\u201d he said. \u201cThrough our thoughts, we have to direct this AI to generate content that has to be aligned to your values and your brand tone.\u201d<\/p>\n

The discussion followed Huang\u2019s recent keynote<\/a> at COMPUTEX, where NVIDIA and WPP announced a collaboration<\/a> to develop a content engine powered by generative AI and the NVIDIA Omniverse<\/a> platform for building and operating metaverse<\/a> applications.<\/p>\n

Driving Forces of the Generative AI Era<\/b><\/h2>\n

NVIDIA has been pushing the boundaries of graphics technology for 30 years and been at the forefront of the AI revolution for a decade. This combination of expertise in graphics and AI uniquely positions the company to enable the new era of generative AI<\/a> applications.<\/p>\n

Huang said that \u201cthe biggest moment of modern AI\u201d can be traced back to an academic contest in 2012, when a team of University of Toronto researchers led by Alex Krizhevsky showed that NVIDIA GPUs could train an AI model that recognized objects better than any computer vision algorithm that came before it.<\/p>\n

Since then, developers have taught neural networks to recognize images, videos, speech, protein structures, physics and more.<\/p>\n

\u201cYou could learn the language of almost anything,\u201d Huang said. \u201cOnce you learn the language, you can apply the language \u2014 and the application of language is generation.\u201d<\/p>\n

Generative AI models can create text, pixels, 3D objects and realistic motion, giving professionals superpowers to more quickly bring their ideas to life. Like a creative director working with a team of artists, users can direct AI models with prompts, and fine-tune the output to align with their vision.<\/p>\n

\u201cYou have to give the machine feedback like the best creative director,\u201d Read said.<\/p>\n

These tools aren\u2019t a replacement for human creativity, Huang emphasized. They augment the skills of artists and marketing professionals to help them feed demand from clients by producing content more quickly and in multiple forms tailored to different audiences.<\/p>\n

\u201cWe will democratize content generation,\u201d Huang said.<\/p>\n

Reimagining How We Live, Work and Create With AI<\/b><\/h2>\n

Generative AI\u2019s key benefit for the creative industry is its ability to scale up content generation, rapidly generating options for text and visuals that can be used in advertising, marketing and film.<\/p>\n

\u201cIn the old days, you\u2019d create hundreds of different ad options that are retrieved based on the medium,\u201d Huang said. \u201cIn the future, you won\u2019t retrieve \u2014 you\u2019ll generate billions of different ads. But every single one of them has to be tone appropriate, has to be brand perfect.\u201d<\/p>\n

For use by professional creators, these AI tools must also produce high-quality visuals that meet or exceed the standard of content captured through traditional methods.<\/p>\n

It all starts with a digital twin<\/a>, a true-to-reality simulation of a real-world physical asset. The NVIDIA Omniverse<\/a> platform enables the creation of stunning, photorealistic visuals that accurately represent physics and materials \u2014 whether for images, videos, 3D objects or immersive virtual worlds.<\/p>\n

\u201cOmniverse is a virtual world,\u201d Huang said. \u201cWe created a virtual world where AI could learn how to create an AI that\u2019s physically based and grounded by physics.\u201d \u00a0<\/i><\/p>\n

\u201cThis virtual world has the ability to ingest assets and content that\u2019s created by any tool, because we have this interface called USD,\u201d he said, referring to the Universal Scene Description framework for collaborating in 3D. With it, artists and designers can combine assets developed using popular tools from companies like Adobe and Autodesk with virtual worlds developed using generative AI.<\/p>\n

NVIDIA Picasso<\/a>, a foundry for custom generative AI models for visual design unveiled earlier this year, also supports best-in-class image, video and 3D generative AI capabilities developed in collaboration with partners including Adobe, Getty Images and Shutterstock.<\/p>\n

\u201cWe created a platform that makes it possible for our partners to train from data that was licensed properly from, for example, Getty, Shutterstock, Adobe,\u201d Huang said. \u201cThey\u2019re respectful of the content owners. The training data comes from that source, and whatever economic benefits come from that could accrete back to the creators.\u201d<\/p>\n

Like any groundbreaking technology, it\u2019s critical that AI is developed and deployed thoughtfully, Read and Huang said. Technology to watermark AI-generated assets and to detect whether a digital asset was modified or counterfeited will support these goals.<\/p>\n

\u201c<\/i>We have to put as much energy into the capabilities of AI as we do the safety of AI,\u201d Huang said. \u201cIn the world of advertising, safety is brand alignment, brand integrity, appropriate tone and truth.\u201d<\/p>\n

Collaborating on Content Engine for Digital Advertising<\/b><\/h2>\n

As a leader in digital advertising, WPP is embracing AI as a tool to boost creativity and personalization, helping creators across the industry craft compelling messages that reach the right consumer.<\/p>\n

\u201cFrom the creative process to the customer, there\u2019s going to have to be ad agencies in the middle that understand the technology,\u201d Huang said. \u201cThat entire process in the middle requires humans in the loop. You have to understand the voice of the brand you\u2019re trying to represent.\u201d<\/p>\n

Using Omniverse Cloud<\/a>, WPP\u2019s creative professionals can build physically accurate digital twins of products using a brand\u2019s specific product-design data. This real-world data can be combined with AI-generated objects and digital environments \u2014 licensed through partners such as Adobe and Getty Images \u2014 to create virtual sets for marketing content.<\/p>\n

\u201cWPP is going to unquestionably become an AI company,\u201d Huang said. \u201cYou\u2019ll create an AI factory where the input is creativity, thoughts and prompts, and what comes out of it is content.\u201d<\/p>\n<\/p>\n

Enhanced by responsibly trained, NVIDIA-accelerated generative AI, this content engine will boost creative teams\u2019 speed and efficiency, helping them quickly render brand-accurate advertising content at scale.<\/p>\n

\u201cThe type of content you\u2019ll be able to help your clients generate will be practically infinite,\u201d Huang said. \u201cFrom the days of hundreds of examples of content that you create for a particular brand or for a particular campaign, it\u2019s going to eventually become billions of generated content for every individual.\u201d<\/p>\n

Learn more about NVIDIA\u2019s collaboration with WPP<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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