Yesterday tech giant Nvidia and CEO Jensen Huang debuted the next phase in artificial intelligence rollout in what he called “physical AI,” along with host of new innovative AI-powered tools and robotics.
Huang made these announcements at the SIGGRAPH conference in Denver, Colorado, who was interviewed by Lauren Goode.
The first wave was accelerated computing, which lowers the amount of energy used. The next wave of AI was enterprise – customer service. We want to give every organization the chance to create their own AIs.
The next wave is physical AI. It requires three computers. One computer to create AI, another to send commands to a robot, and a third computer to handle it all.
We are entering the age of the AI-powered humanoid robot.
Nvidia disclosed more about physical AI and its latest innovations in a blog post published:
Everybody will have an AI assistant. Every single company, every single job within the company, will have AI assistance.
Huang said.
But even as generative AI promises to amplify human productivity, Huang said the accelerated computing technology that underpins it promises to make computing more energy efficient.
“Accelerated computing helps you save so much energy, 20 times, 50 times, and doing the same processing,” Huang said. “The first thing we have to do, as a society, is accelerate every application we can: this reduces the amount of energy being used all over the world.”
NVIDIA introduced a new suite of NIM microservices tailored for diverse workflows, including OpenUSD, 3D modeling, physics, materials, robotics, industrial digital twins and physical AI. These advancements aim to enhance developer capabilities, particularly with the integration of Hugging Face Inference-as-a-Service on DGX Cloud.
In addition, Shutterstock has launched a Generative 3D Service, while Getty Images has upgraded its offerings using NVIDIA Edify technology.
In the realm of AI and graphics, NVIDIA has revealed new OpenUSD NIM microservices and reference workflows designed for generative physical AI applications.
This includes a program for accelerating humanoid robotics development through new NIM microservices for robotics simulation and more.
Finally, WPP, the world’s largest advertising agency, is using Omniverse-driven generative AI for The Coca-Cola Company, helping drive brand authenticity, and showcasing the practical applications of NVIDIA’s advancements in AI technology across various industries.
Huang and Goode started their conversation by exploring how visual computing gave rise to everything from computer games to digital animation to GPU-accelerated computing and, most recently, generative AI powered by industrial-scale AI factories.
All these advancements build on one another. Robotics, for example, requires advanced AI and photorealistic virtual worlds where AI can be trained before being deployed into next-generation humanoid robots.
Huang explained that robotics requires three computers: one to train the AI, one to test the AI in a physically accurate simulation, and one within the robot itself.
“Just about every industry is going to be affected by this, whether it’s scientific computing trying to do a better job predicting the weather with a lot less energy, to augmenting and collaborating with creators to generate images, or generating virtual scenes for industrial visualization,” Huang said. “Robotic self-driving cars are all going to be transformed by generative AI.”
Likewise, NVIDIA Omniverse systems — built around the OpenUSD standard — will also be key to harnessing generative AI to create assets that the world’s largest brands can use.
By pulling from brand assets that live in Omniverse, which can capture brand assets, these systems can capture and replicate carefully curated brand magic.
Finally, all these systems — visual computing, simulation and large-language models — will come together to create digital humans who can help people interact with digital systems of all kinds.
One of the things that we’re announcing here this week is the concept of digital agents, digital AIs that will augment every single job in the company.
And so one of the most important use cases that people are discovering is customer service. In the future, my guess is that it’s going to be human still, but AI in the loop.
Huang said.
All of this, like any new tool, promises to amplify human productivity and creativity. “Imagine the stories that you’re going to be able to tell with these tools,” Huang said.
Huang also spoke Meta’s Mark Zuckerberg at the event about how the two are collaborating and pushing AI innovation.
In a separate press release, Nvidia wrote:
Zuckerberg kicked off the discussion by announcing the launch of AI Studio, a new platform that allows users to create, share and discover AI characters, making AI more accessible to millions of creators and small businesses.
“Every single restaurant, every single website will probably, in the future, have these AIs …” Huang said.
…just like every business has an email address and a website and a social media account, I think, in the future, every business is going to have an AI.
Zuckerberg responded.
Zuckerberg has gotten it right before. Huang credited Zuckerberg and Meta with being leaders in AI, even if only some have noticed until recently.
“You guys have done amazing AI work,” Huang said, citing advancements from Meta in computer vision, language models, real-time translation. “We all use Pytorch, that comes out of Meta.”
Zuckerberg expressed optimism about bringing AI together with the real world through eyeglasses — noting his company’s collaboration with eyewear maker Luxotic — that can be used to help transform education, entertainment and work.
“Today’s AI is kind of turn-based. You say something, it says something back to you,” Huang said. In the future, AI could contemplate multiple options, or come up with a tree of options and simulate outcomes, making it much more powerful.”
AUTHOR COMMENTARY
Proverbs 25:14 Whoso boasteth himself of a false gift is like clouds and wind without rain.
And yet this rapid push for physical AI is only going to replace and outmode a substantial number of workers. If you thought layoffs were bad now, just wait until more and more physical AI-powered robotics takes over the workplace. This pretty picture Huang and Zuckerberg are painting through their rose-colored smart glasses is not reality (no pun intended), and the vast majority of white-collar and even a good chunk of blue-collar work will be replaced with all this AI.
The future of the world, should all of this come to pass, will be a bleak and dreary one for sure.
SEE:
- World Economic Forum Forecasts 83 Million Jobs Will Disappear By 2027 Because Of AI And Advanced Technologies
- International Monetary Fund Warns That 60% Of Jobs Will Be Affected By AI, Mostly Replaced
- AI Is Set To Replace Multimillions Of Jobs According To New Surveys And Forecasts
- Top WEF Adviser Yuval Harai Openly Says We ‘Don’t Need The Vast Majority Of The Population’ And Are Working To Get Rid ‘Useless’ People
- Exclusive: Indiana Grocery Stores Replace Workers With AI Robots That Take Inventory And Boost Sales
Daniel 12:4 But thou, O Daniel, shut up the words, and seal the book, even to the time of the end: many shall run to and fro, and knowledge shall be increased.
[7] Who goeth a warfare any time at his own charges? who planteth a vineyard, and eateth not of the fruit thereof? or who feedeth a flock, and eateth not of the milk of the flock? [8] Say I these things as a man? or saith not the law the same also? [9] For it is written in the law of Moses, Thou shalt not muzzle the mouth of the ox that treadeth out the corn. Doth God take care for oxen? [10] Or saith he it altogether for our sakes? For our sakes, no doubt, this is written: that he that ploweth should plow in hope; and that he that thresheth in hope should be partaker of his hope. (1 Corinthians 9:7-10).
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