Intel's entry into the artificial intelligence ecosystem: How far is AI sitting away from us?

One day in the summer of 1996, the 50-year-old Hans of the coronary artery intensive care unit of the University Hospital of Sweden. Director Wolin sat in the office with 2240 ECGs on his desk. He examines them alone in the office and picks out the electrocardiogram that represents the onset of the disease. In order to avoid the negligence caused by fatigue, he takes a break every two hours - this is the deep blue war in the medical world. Wolin is the chess king of cardiology Kasparov, and he will go to the computer to read the ECG century.

Today, 21 years later, similar confrontations are still going on. The difference is that our understanding of artificial intelligence is different from the past, and we have more expectations for another world touched by AI.

Dr. Liu Yinyin, Director of Intel AIPG Data Science Department, said at the 2017 Global Machine Intelligence Summit that deep learning is driving the development of artificial intelligence. Each AI model is a breakthrough in theory and practice, starting with the model and collecting data. Training, based on artificial intelligence framework and computational power, solves application problems, and then feeds relevant experience back into the model to form a closed-loop benign cycle to provide a more efficient artificial intelligence solution.

The precise use of the model means that industries including medical , retail, finance, transportation, government, industry, consumer goods, etc. will usher in a storm of change from artificial intelligence. For example, in the medical field, AI robots with higher precision than human diagnosis and treatment are emerging. Perhaps the idea of ​​letting them sit for humans is not far from us.

Artificial intelligence enters the golden age

"AlphaGo Master is more powerful than AlphaGo Lee (the version against Li Shishi). Master's ability to consume (performance and power) is only one-tenth of the Lee version, requiring 4 TPUs to run on a single computer. "DeepMind chief scientist David Silver explained this after AlphaGo defeated Li Shishi.

The power of AlphaGo is desperate, sparking a discussion of "artificial intelligence threatens humanity." But in essence, artificial intelligence is the result of a combination of algorithms, data, and hardware.

From the Dartmouth Conference in the 1950s, the term artificial intelligence (AI) was first established, to the introduction of the Hopfield neural network and BT training algorithms in the 1980s, and to the 2006 deep learning technology proposed by Hinton, and 2012. The breakthrough of ImageNet competition in the field of image recognition, artificial intelligence is gradually moving towards the golden age. The signs of this period are: massive data, ever-increasing algorithmic capabilities, and computer computing power.

As a company focused on data processing, Intel is also deeply aware of the upcoming great changes in the AI ​​field and the new requirements for data computing.

Intel's judgment is that the hardware in the field of artificial intelligence will be more diversified in the future, but as the computer age becomes more mature, the deployment of many technologies becomes very difficult, because many technologies are in the whole artificial intelligence. Under the framework, but in the entire AI-related field, only 7% of the application is in line with the specific requirements and appeals of AI.

Therefore, in order to better achieve artificial intelligence, Intel is also expanding its technology layout, including the acquisition of Mobileye, the world's leading driverless solution provider, Nervana, a leader in deep learning and neural network chips and software, leading computer vision. Company Movidius and leading artificial intelligence service provider Saffron. By combining these investments with Intel Xeon, Xeon Phi products, RealSense technology and FPGAs, it provides full-stack power to handle end-to-end data, from hardware, libraries and languages, frameworks, tools to applications. All the assets needed for an end-to-end artificial intelligence solution.

英特尔入局人工智能生态圈:AI坐诊离我们还有多远?

Yang Xu, Intel's Vice President and President of China, delivered a speech entitled "Release Data Value and Reshape the Real Economy" at the First Financial Technology and Innovation Conference

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