Artificial intelligence is at a historic stage of development. Uber announced Monday the acquisition of a New York-based artificial intelligence startup, Geometric Intelligence, to ensure it is not left behind in driverless technology. This also shows that the competition for artificial intelligence in technology companies continues to heat up.
Losing $2 billion a year? Don't care! The 15 R&D staff at Geometric Intelligence will join Uber's team of artificial intelligence labs in San Francisco. The company's co-founder Gary Marcus said his R&D team's capabilities can range from improving traffic forecasting to developing a future flying car. Uber did not disclose the price of the acquisition. The current sponsor of Geometric Intelligence is New York University.
Recently, there are reports that Uber is taking radical growth measures, including investing heavily in fare subsidies, which means that the company's losses have increased. Uber lost more than $2 billion last year and is expected to increase this year's loss. But Uber's chief product officer, Jeff Holden, doesn't care. "We don't think this is a problem. Maybe it's not a good thing from the outside world, but we are doing very well."
Uber hopes to become a more effective transportation technology company. In the near term, the new artificial intelligence team will help Uber improve the company's ability to predict the time and place of the car, and consider environmental factors such as weather.
Previously, Uber had been driving road tests for driverless cars in San Francisco and Pittsburgh. These driverless cars are currently manufactured by Volvo and require someone in the driver's seat to control when necessary, but Uber's goal is to achieve complete driverlessness.
Technology companies and traditional car manufacturers are hoping to take the lead in the race of unmanned technology. Tony Douglas, head of BMW's mobile services strategy, said: "Currently, taxi software still needs to be manually driven. If you save the driver, you will have a license to print money."
Bao immediately announced on the weekend that he will test the driverless car in Munich, Germany next year. BMW said in a statement: "There are about 40 unmanned vehicles tested in the heart of Munich, and this test project will be extended to other cities." BMW plans not only to use its expertise in manufacturing high-end cars. Technology, but also show its strength in creating, owning and managing high-end teams.
And Marcus's vision is to be able to create a "flying car." He said: "We hope that in the not too long future, the speed of the car can reach 75 to 150 miles per hour, so that people will not be trapped in traffic jams. And we are confident that this wish can be achieved." Uber recently A white paper exploring the program was also released.
Artificial intelligence "premature" Artificial intelligence is imperceptibly affecting everyone's daily life. From voice recognition technology to image recognition technology, technology companies including Google (microblogging), Amazon, Faceook, and Microsoft are all expanding their business in artificial intelligence. They hope that people can't live without these human-computer interactions. Technology Products.
But these applications that really quantify artificial intelligence are still very difficult today. Angela Bassa, director of data science at EnerNOC, an energy intelligence software company, told the First Financial reporter: "Many people think that artificial intelligence is a one-off thing, but I think it will take another 10 years to be mature."
Bassa is engaged in deep learning, using a large amount of data to train computer programs, so that computers can learn to judge themselves. But her team found that users were more interested in data analysis, but instead paid little attention to the gradual value of artificial intelligence algorithms.
Some startups are also beginning to experiment with the development of artificial intelligence systems in a broader sense. Marcus proposed using data analysis to do artificial intelligence. The system designed by Geometric Intelligence is able to learn the rules and does not need to learn a lot of data to make predictions.
Marcus said that the method of training artificial intelligence through massive data may not be able to meet the status quo. He believes that deep learning is useful for some problems, but it cannot be used as a reference for people's next actions, so we need the next generation of technology.
Bassa believes that facing these problems does not mean that artificial intelligence is of no use to the current business, but it should be emphasized that the role of artificial intelligence should not be overemphasized. For artificial intelligence to play a broader role, not just the current applications may be a long process of decades, just like educating our children, it takes time.
Artificial intelligence is creating history. Statistics show that the capital attracted by artificial intelligence startups is reaching its peak. Since 2011, more than 140 human intelligence startups have been acquired, up to 40 this year.
Large technology companies are also absorbing artificial intelligence R&D teams from universities. Last week, Google hired Li Feifei, a prestigious scientist at the Stanford University Artificial Intelligence Lab, to lead a new artificial intelligence research team at Google. This has once again triggered a debate between technology companies and universities for talent resources. Some researchers believe that technology companies have taken away resources in the field of university research, which is not conducive to the long-term development of human science.
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