The concept of AI is general and wide-ranging. What is the core of AI? On May 8th, US local time, the annual Google I/O Developers Conference was held in Mountain View. The focus of the outside world was on the progress of Google's use of AI in various R&D directions. It is reported that Google has developed the latest AI smart tools, which can provide power for various types of products, from smart phones to smart refrigerators. Dan Evers, chief strategist at GBH Insights, also said that artificial intelligence will be a top priority at this I/O conference. Google wants developers to put their bets on their platforms. Google has properly released the digital voice assistant Google Assistant to the TensorFlow machine learning engine. Google’s performance has already explained everything. The wave of AI has swept the world. Google is using its own AI technology to influence different industries, regardless of how AI is in the form of tens of millions of cores. Data is the premise of computing power + algorithm is grain "The data is worthy of the world, and the data holders have the leading rights in the AI ​​field." Intel China President Yang Xu said in an interview. A traditional PC supplier is transforming and realizing future expectations through data. For the realization of AI capability, it is first necessary to have a large amount of available data for the machine to analyze and calculate, so as to obtain an effective solution. Through a large number of data samples, AI can provide continuous analysis capabilities, which constitute the machine's autonomous learning and computing, and achieve AI functions when output to the foreground. Many chips and traditional server vendors are also looking for a transformation, using existing equipment, resources, and technical capabilities to achieve technology accumulation for AI transformation. Intel, Qualcomm, Inspur, and IBM are all offering different types of underlying technologies and devices for AI. When you browse the webpage inadvertently and shop, you will find that everyone's homepage and recommendations are different. In fact, this is AI's recommendation of personalized content for different people through the computing and analysis capabilities of big data. For example, Alibaba has obtained a lot of path information generated during the use of Taobao's browsing and clicking, and this information will analyze the purchase demand of different consumers for Alibaba, and recommend different consumption pages. For the user, I don't see that AI has strong expressiveness, but in the subtleties, AI's ability is gradually affecting everyone's life. Social progress is a bit of a drop, not just a glimpse, instantly becoming a 2050 sci-fi movie. Early AI adopters in the industry and enterprise are exploring major breakthroughs based on deep information within the data. AI is paving the way for solving highly complex medical problems, financial operations, protection of rare species, promoting scientific research, and better predicting action and human behavior. To achieve rapid response and a large number of functions, computational power and algorithms are an important part of AI implementation. Many artificial intelligence algorithms, especially deep learning algorithms, achieve faster processing speeds and achieve an order of magnitude reduction in computation time. Excellent artificial intelligence algorithms, such as the most popular deep learning algorithms, are one of the biggest breakthroughs in the field of artificial intelligence in the near future, which brings hope for the commercialization of artificial intelligence. The increase in power is increased when the AI ​​is geometrically calculated. Twenty years ago, a robot, with 32 CPUs, reached a speed of 120 MHz. Today's artificial intelligence systems use hundreds of GPUs to boost computing power. This gives a greater boost to the ability to handle learning or intelligence. Before using the CPU for one month to get the results, and then adjust the parameters, only 12 times a year, that is, there are 12 iterations. After the GPU is generated, the amount of calculation is greatly increased. Now, the GPU can produce results in one day, so that it can be iterated faster, which is a condition for the development of technology. Just like the iteration of a home computer processor, it is hard to imagine how long it takes to process a video or 100 images with a Pentium processor. The chip is the cornerstone of the fourth wave The AI ​​algorithm and computing power need the support of the underlying chip, and in the future to achieve difficult technology such as unmanned vehicles, AI chip research and development is of paramount importance. The Cambrian has released the first cloud smart chip MLU100, which indicates that Cambrian has mastered multi-scene cloud application processing technology in visual, voice and natural language, and has become one of the few terminal processing and cloud intelligent processors in the world. Business company. Nowadays, the Internet of Things is the trend of the times. The advantages of AI chips applied to mobile phone processors have been learned by Kirin 970. It took less than a year for the AI ​​chip to occupy the entire mobile phone market, and it requires more computing power. The demand for AI processors equipped with different hardware devices is greater. In recent years, autopilot has always been a hot spot for the development of the Internet. With the introduction of AI chips, autopilot has not only limited the feedback of the mobile phone data to the cloud, but also through the AI ​​chip for timely verification and verification. The technology judges the road traffic condition to react in real time to achieve true autonomous driving. The field of cloud computing is the top priority of the future Internet development. Various Internet AI functions will be realized by cloud AI chips. Various cloud computing capabilities for online translation, image search and data analysis will rely on AI chips to achieve . The fourth wave of artificial intelligence may come in a few years. After all, the evolution of AI capability is positive. It is the ability to provide machine identification or judgment for different industries by using data and computing, thus liberating labor costs. Li Kaifu said that in the future, it is very likely that human beings will be completely replaced. Perhaps it is not a hole in the wind, but it may replace most of the current work. To this end, more and more enterprises have begun to establish their own artificial intelligence laboratories. Many domestic enterprises including BAT are building AI technical teams. Baidu has announced that it is an AI company. It can be seen how hot the AI ​​will be in the next few years. Embracing AI, maybe faster in the future, and we will be closer to the future.
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