Intel gambles AI, deep learning or speeding up 100 times in the next three years

With the great heat of artificial intelligence technology in recent years, Intel, one of the oldest technology companies, will naturally not miss this development opportunity. Machine learning and artificial intelligence will soon become the core technology for reshaping corporate IT, and will continue to maintain its superiority in the industry giants. As the four most influential giants in the technology field, Intel, Google (microblogging), IBM and Microsoft have invested a lot of resources in this field, and hope to accelerate the development of next-generation applications.

For many years, the PC has been Intel's core business. But in recent years we have seen Intel start its own "adventure journey" and invest in areas such as the Internet of Things, autonomous driving and artificial intelligence. According to statistics, artificial intelligence will develop into a large business cluster of US$5.05 billion by 2020, and Intel hopes to become one of the core players in this technology field.

Today's AI technology has been applied to many areas such as image, video and voice recognition, and we can even find traces of AI technology in the field of social platforms, maps and online content generation. Moreover, many technology giants also use systems such as machine learning and natural language processing that are subdivided in AI technology to design systems that recognize text, objects, sounds, motions, and patterns. This system can sum up large amounts of data. Internal rules and provide users with structured and useful information.

In October last year, Intel announced the acquisition of Saffron, an artificial intelligence company, to increase its investment in artificial intelligence technology. Like other artificial intelligence companies, Saffron technology aims to extract useful information from vast data sets by mimicking the algorithms that work with the human brain. The difference is that Saffron is focused on developing "associative memory" technology, rather than deep learning artificial intelligence such as Google and Facebook.

"We've seen tremendous promise in cognitive computing technology, not only as a high-performance server for processing large amounts of enterprise data, but also to improve devices designed for users with disabilities, helping them perceive the outside world or process complex real-time information. Small devices Big data can also be leveraged as long as they are smart enough and connected," said Josh Walden, general manager of Intel New Technology Group.

For example, services such as Alexa, Siri, Cortana, and IBM's Watson serve users based on AI algorithms, while platforms such as Netflix and Pandora can use AI-learned users to provide program and content recommendations.

At present, Intel chips have been deployed in 97% of the world's data centers containing AI work content. The company's Xeon and Xeon Phi chips are the most used chip products in the machine learning field. From the company's roadmap content, Intel's future product "Knights Crest" will be tightly integrated with the highest configuration of Intel Xeon processors and Nervana innovations, so it can provide high performance for deep learning and is provided through high-speed interconnect networks. Unprecedented calculation density.

More worth mentioning is that in order to enhance its competitiveness in the artificial intelligence market, Intel recently announced the acquisition of the startup Nervana Systems. After the successful acquisition, the company said that "Nervana technology is expected to increase the speed of the deep learning system by 100 times in the next three years compared to graphics chips."

If this prediction is accurate, then this technology will help Intel develop more complex neural networks and help data experts solve the problems encountered by AI technology faster.


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