The degree of artificial intelligence is like the Apple mobile phone in the field of smart phones. It can be said that artificial intelligence is the future. As long as enterprises have artificial intelligence technology, they will hold the key to open the door of the future. In today, the artificial intelligence industry has become a new important economic growth point for the country. So Intel not only has a Xeon processor, but also has AI high-end technology, so he will never fall.
"Every company needs an artificial intelligence strategy, otherwise it will fall behind the times, and the AI ​​strategy even determines the future success of the company," said Intel CEO Ke Zaiqi.
For Intel, since positioning itself in a data company, it has begun to make strides in artificial intelligence.
Recently, Intel rushed to hold an artificial intelligence conference at the end of the year. On the one hand, it once again made a determination on the artificial intelligence strategy, on the other hand, it did not forget to pull up teammates to show off the muscles.
Artificial intelligence card, how does Intel play?In August last year, Intel spent $350 million to acquire deep learning company Nervana Systems, a move that was seen as a catalyst for Intel's artificial intelligence strategy.
After the acquisition of Nervana, Intel immediately placed the artificial intelligence business and projects under the unified leadership of Nervana's former CEO, Naveen Rao, which combines lab, software and hardware functions. At the same time, the Artificial Intelligence Division was established, which plays the role of artificial intelligence across departments.
In fact, Intel has provided a complete set of artificial intelligence full stack solutions, including:
1. Covers Xeon processors, Xeon Phi processor, Intel® NervanaTM neural network processor and FPGA, network and storage technology, etc.
2. Intel architecture-based math function library (Intel® MKL and Data Analysis Acceleration Library (Intel® DAAL) optimized for deep learning/machine learning;
3. Support and optimize open source deep learning frameworks such as Spark, Caffe, Theano, and Neon;
4. Build a platform represented by Intel® Movidius and Saffron to promote the development of front-end collaborative artificial intelligence.
This artificial intelligence full-stack solution also indirectly tells us that the complexity of artificial intelligence application scenarios requires different hardware platforms and software and hardware collaborative optimization to effectively improve the speed and accuracy of processing data.
It is precisely because of the complexity and diversity of artificial intelligence scenarios that the integration of companies and industries has become possible.
As Intel China President Yang Xu said: Intel does not do the Eiffel Tower-style R&D. Any technology must cooperate with the industry extensively to verify its success in the industry and market.
So we saw Intel's continuous cooperation with companies in the industry such as Baidu, Keda Xunfei, Jingdong, Hikvision, and Meituan. For example, Baidu announced the Intel Artificial Intelligence Solution Center and Aier Ophthalmology for remote image recognition applications through artificial intelligence technology.
In order to promote the breakthrough of artificial intelligence performance bottleneck and the popularization of technology, Intel has established alliances including giant companies such as Google, and cooperated with global organizations to provide developer training courses to build artificial intelligence technology upgrades, education and training, application optimization, etc. Ecology.
Synchronized with the formation of teammates is the evolution of technology. Not long ago, Intel officially announced the industry's first neural network processing chip Intel® NervanaTM Neural Network Processor (NNP), and has 130,000 Neurons and 130 million synaptic-linked autonomous learning neuron test chips, Loihi, mimic the brain's "autonomous" learning based on environmental feedback.
During this artificial intelligence conference, Intel also highlighted the Loihi chip, which includes digital circuits that mimic the basic mechanisms of the brain, making machine learning faster and more efficient, while requiring less computational power and training. Compared to the general-purpose computing chip of the artificial intelligence system, the energy efficiency of the Loihi chip is increased by 1000 times.
The biggest threshold for artificial intelligence is data, how to break it?If last year was the release of Intel's ability to artificial intelligence strategy, then the main theme of this year is cooperation, scenes and landing.
Fiaz Mohamed is the general manager of business development for Intel's Artificial Intelligence Products Division. In the actual business, he found that the biggest threshold for artificial intelligence is still data, the amount of data collection is insufficient, the data collected is appropriate, the data is in the wrong shape, and even So much data can be accommodated in a single stand-alone system and can work with each other.
Fiaz Mohamed, General Manager, Business Development, Intel Corporation Artificial Intelligence Products Division
To demonstrate how artificial intelligence processes data and solves industry problems, Fiaz Mohamed cited an example of an investment bank that wants to use Intel's technology to build its own knowledge management system, using deep learning or artificial intelligence technology to make transactions. The work of reading a large number of documents has been simplified. It is important to know that investment banks are a large number of traders. Each trader needs to read a large number of documents to help him make decisions.
What the bank wants to achieve is to liberate the trader's time, so that traders do not need to read the previous documents, just focus on the most critical issues. But the question is coming, according to the daily dialogue between people, if you ask the machine: Tell me about the current situation of China's auto industry competition. In fact, this problem is very complicated. First of all, the car can be refined. Cars, passenger cars, or big trucks. The competitive landscape is the designated price or the competitor.
It is undeniable that behind this is complex and huge data that exceeds the capabilities of human analysts. Without the assistance of the machine, it is difficult to use the data effectively, and the machine not only processes the data, but also learns from it.
Therefore, even if the problem is presented in a very natural language, the content is very complicated. It is necessary to use AI technology to establish such a system of independent knowledge management through deep learning. This system can be directly analyzed after its own analysis. Take the document or chart that it deems appropriate and present it to the questioner.
In fact, whether it is from banking to medical, manufacturing, or consumer services, companies around the world have begun to use artificial intelligence to analyze data and build learning organizations to compete and compete at an unprecedented rate.
Fiaz Mohamed also said that although Intel's main goal now is to do research and development work on infrastructure for various possible usage scenarios. But over time, it will also consider entering new areas, such as smartphone terminals, as well as other FPGAs and custom Asic applications.
In a word, the future competitive situation has already determined that if a company layout artificial intelligence does not necessarily win, but no artificial intelligence will certainly lose.
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