Intel join hands with Facebook to develop artificial intelligence chips
According to the report of the physicists' organization network, Intel CEO Brian Kozych recently announced at the WSJDLive held by the Wall Street Journal that he is working with tech giants such as Facebook and will launch a special model for the end of the year. Artificial intelligence designed the chip, so that the company in the field of artificial intelligence from the "late comer" to "leader" magnificent turn.
Intel, which once produced the world’s first microprocessor, has overwhelmingly dominated the personal computer’s central processor market, but with the rise of artificial intelligence, other companies have taken the lead and Intel is widely considered to be The "late comer" of emerging technologies. This year, Intel also joined the artificial intelligence market and completed several big acquisitions. For example, in 2016, it spent 400 million US dollars to acquire deep learning startup Nervana to create its own hardware technology for deep learning and other artificial intelligence tasks.
This time, Intel is also a social media giant Facebook company. According to Intel, Facebook is an important participant in the global artificial intelligence community. The latest artificial intelligence technology is widely used on social networking sites. Although the two sides did not sign a formal cooperation agreement, they have formed a de facto specific partnership. Facebook has been working on new chips on social networking sites. Conduct trials and regularly provide Intel with unique technical feedback.
The neural network processor can not only run various algorithms easily, but also can effectively train artificial intelligence models. Ke Zaiqi said that many new designs in this Nervana neural network processor (NNP) enable it to perform parallel computing. Intel artificial intelligence chips are expected to increase the performance of artificial intelligence by hundreds of times by 2020, and artificial intelligence models provide higher performance and scalability. Various industries, including medical, social media, automotive and weather forecasting, will use this chip to achieve business transformation, develop new artificial intelligence applications, and serve customers through the rapid processing of large amounts of data, such as the introduction of an earlier and more accurate diagnosis of the disease. The medical client will allow social media users to have a more personalized experience. Driverless cars will therefore be more in the morning.
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