When you dream of a day, artificial intelligence achieves a human -like ability, formerly Airbus Cto Paul Eremenko says he has always done it in the context of building real world machines. “I want to have the properties of artificial intelligence that it can build Dyson’s revolutions and balls,” he said. luckThe latter is that it is a huge, virtual science fiction structure that mocked energy from a star.
While his dream is still far away, Emeko sets the foundation. He joined the previous forces Google Deepmind Researcher Alexa Gordic, Adam Nagil, a former engineering pioneer at the Innovation Center in Airbus. Together, they established P-1 AI, which came out of Stealth today with a seed of $ 23 million, led by radical projects. Among the other investors are Village Global, Schematic Ventures, Leer Hippeau, along with prominent angels such as Google DeepMind Jeff Dean and Openai in new products Peter.
P-1, named after Teen P-1It is a scientific fictional novel of 1977 written by Thomas Joseph Ryan about artificial intelligence, developing an engineering assistant working in Amnesty International called Archie. Similar to other artificial intelligence assistants such as Devin coding of artificial intelligence from AI, the idea is to include Archie as a novice member in each engineering team-to deal with frequent tasks but absorbs time such as interpretation requirements, generating premature design concepts, and checking compliance with regulations. It is an early step towards a more ambitious vision: the use of artificial intelligence to design complex machines in the future.
Ermanko said he was surprised that no one was already working on this goal, but he soon discovered the reason. Just as with self -driving cars and robots, AI education requires the creation of huge amounts of training data. He explained that the key is to simulate realistic engineering systems by building virtual models of components in the real world, such as engines, tubes and columns. After that, this physics -based simulation is combined in various formations to create data, which is then used to train artificial intelligence models that help to automate engineering design.
According to Gordic, it is similar to how Google DeepMind used games to help Alphago training, artificial intelligence that won the human heroes in Goo, a complex strategic board game. And he told luck. Now, he will train LLMS and other artificial intelligence systems to understand and modify complex engineering designs in physics -rich systems such as cooling systems at Data Center or HVAC.
He explained that the models should be useful for engineering tasks. Therefore, artificial intelligence should understand orders and follow instructions. A strong mixture of artificial intelligence models that are trained in integrated artificial data on physics simulator, which can then be understood and behaving on that data make automatic engineering assistance a reality. “We are training Archie on artificial data, to get it on a type of university studies engineer,” Follow Emeko. But after publication, Archie can learn from human comments and real data from companies that use artificial intelligence.
Eremenko said that P-1 investors are interested in the short-term start-up plans-but they are especially excited for the future. He explained: “Many of us in the world of engineering and the world of artificial intelligence, we grew up on science fiction, and we promised science fiction with superior intelligence will build with revolutions.”
Large concerns like Autodeskand Siemens and IBM Working on the elements of the use of artificial intelligence of engineering, but they do not create a new category of general engineering aide, and they do not follow the same major vision of the machines designed from artificial intelligence.
However, Ermanko and Kordik insist on their path and very focused, and it is not a marine project with an unspecified time frame. “We will not be a satellite for 10 years,” said Ermanko. “This is a very pragmatic offer and a path to the market.”
This story was originally shown on Fortune.com
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