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You are at:Home»AI»Why the runway is watching the robotics industry for future revenue increase
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Why the runway is watching the robotics industry for future revenue increase

techtost.comBy techtost.com1 September 202504 Mins Read
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Why The Runway Is Watching The Robotics Industry For Future
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The corridor has spent the last seven years creating visual creation tools for the creative industry. Now, she sees a new opportunity for her technology: Robotics.

The New York -based corridor is known for its models AI World Ai World Video and Photo Generation or large linguistic models that create a simulated version of the real world. More recently, the company has released Gen-4, video creation model, March and Runway Aleph, video editing modelJuly.

As the models of the corridor world began to improve-and become more realistic-the company has begun to receive an incoming interest from robotics and self-driving companies that want to use technology, Anastasis Germanidis, the co-founder and CTO of Anastasis in TechCrunch.

“We believe that this ability to simulate the world is widely useful beyond entertainment, even though entertainment is an ever -increasing and large area for us,” the German said. ‘It makes it much more scalable and cost -effective for training [robotic] Policies that interact with the real world, whether they are robotics or themselves. ”

The German said that cooperation with robotics and self-driving companies was not something that the corridor initially envisioned when it started in 2018. Robotics and other companies did not arrive in other industries, that the company realized that their models had much wider cases of use.

Robotics use Runway technology for training simulations, the German said. He added that only training robots and self-guiding cars in real world scenarios are expensive for companies, it lasts long and difficult to escalate.

While Runway knows that he is not going to replace real education in any way, the German said that companies can get many simulations that perform value in the corridor models because they have the ability to get incredibly specific.

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Unlike real -world training, using these models facilitates the test for specific variables and situations without changing anything else in the scenario, he added.

“You can take a step back and then simulate the effect of different actions,” he said. “If the car took this turn over it, or execute this action, what will be the result of it? By creating these developments from the same context, it is a really difficult thing to do in the natural world to substantially maintain all the other aspects of the environment the same and just try the result of the particular action you want.”

The corridor is not the only company that wants to deal with this. For example, Nvidia released the latest version of Cosmos World models, in addition to other robot training infrastructures, earlier this month.

The company does not foresee the liberalization of a “completely separate series of models” for robotics and self-guiding customers, the German said. Instead, the corridor will perfect its existing models to better serve these industries. The company also manufactures a special robotics team.

The German added that while these industries were not in the company’s initial positions in investors, they were on the ship with this expansion. The corridor increased more than $ 500 million from investors such as Nvidia, Google and General Atlantic with $ 3 billion valuation.

“The way we think of the company is really built on a start, rather than being on the market,” the German said. “This principle is this idea of ​​simulation, to be able to build a better and better representation of the world. Once you have these truly powerful models, then you can use them for a wide variety of different markets, a variety of different industries. [The] The industries we expect are already existing and are going to change even more as a result of the power of genetic models. ”

Artificial Intelligence Future increase industry revenue Robotics runway self-guiding cars watching world models
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