Who will be the new Internet hotspot after the mobile internet? Many Internet cafes have given the answer, that is AI (artificial intelligence). The era of mobile Internet is coming to an end. We will usher in the era of smart Internet. With the start of the "Alfa Dog" victory over Li Shishi in March this year, artificial intelligence has exploded into the Internet and has begun to enter public view. It may take some time for the explosive AI to become universal. It is reported that Artificial Intelligence is a new technical science for researching and developing theories, methods, technologies, and application systems for simulating, extending, and expanding human intelligence. In short, as a branch of computer science, it produces a smart machine that is similar to human intelligence. Research in this field includes robots, language recognition, image recognition, natural language processing, and expert systems, etc., which are used to replace complex environments. Human work. 2016 is a memorable year in the history of intelligence. It is the end of an era and the beginning of a new era. The AI ​​industry has made great progress in terms of data, algorithms, and computing capabilities. The public is also aware that the AI ​​era is coming soon. Major manufacturers have also deployed the artificial intelligence industry. Google, facebook, and Microsoft have all taken the lead in artificial intelligence. 
According to statistics, the industrialization of artificial intelligence is booming. In 2015, the global artificial intelligence market was 127 billion U.S. dollars, and this year it is expected to reach 165 billion U.S. dollars. In 2018, it will exceed 200 billion U.S. dollars. There are 855 global artificial intelligence start-ups across 13 categories with a total valuation of more than US$8.7 billion. The various sensors that mimic the human five senses lack central control systems that are highly integrated and uniform in perception. The multi-source data obtained by each sensor cannot be integrated for collection, processing, and analysis. The application-level intelligent hardware platform, the service robot's intelligence level, perception system, and adaptability to different environments are subject to the level of artificial intelligence at the primary level of development. In the short term, it is difficult to have close to reasoning learning and analysis capabilities, and it is difficult to have close to human judgment. Therefore, despite the high hopes of artificial intelligence, there are also some "painting cakes" artificial intelligence technology that stays in the fantasy stage. True artificial intelligence products are rare. Although the pursuit of capital for artificial intelligence has always been undeniable, so far in 2016, a total of more than 200 companies focused on artificial intelligence completed nearly $1.5 billion in financing. But there are very few products, scenarios, and products that can be applied, let alone industrial applications. Because the data, the scene, and the artificial intelligence algorithm are indispensable, a good product will be born. Faced with the pursuit of capital by this industry, “virtual fire is greater than open flame†is very appropriate. In the opinion of many people in the industry, there are real scenes, products, entrepreneurs who can cut into the scene products, or entrepreneurs who really have data. Less. Many are products that experts who understand artificial intelligence do not have access to. In turn, many people have entry points on the product, but there may not be corresponding technologies for artificial intelligence. Although more and more companies are engaged in the research and development of artificial intelligence, in the eyes of the founder of the joint fund Qiu Hao, many robots are far from the intelligence we expect. Some of the products that are currently being seen are either truly interactive or so-called smart commercial divisions. They are also practical, and they are even a bit far from being useful. The artificial intelligence market is still in its embryonic state At present, the applicable field of artificial intelligence is not large, although according to the calculation of investment scale, the future will be a trillion-scale market scale, but at present the actual market transactions, there are few. The artificial intelligence market is still in the initial stage of incubation and cultivation. There is still a long way to go. This requires the strong support of the aforementioned technologies and products. From a global perspective, the application of artificial intelligence by various companies is generally in the budding and investment stage. Especially in the core technologies related to artificial intelligence such as voice recognition and image recognition, they are generally in the laboratory stage and have not yet formed. The system has not formed commercial barriers and industrial patterns. In April of this year, Baidu’s entrepreneurial projects such as unmanned vehicles and artificial intelligence were independent and managed directly by Li Yanhong, the founder of Baidu. Ali founder Ma Yun first proposed that the Internet has entered the DT era from the IT era. Ali's artificial intelligence strategy is based on the big commercial system of the DT era. With Ali's global e-commerce retail platform and cloud computing and big data platform advantages, Ali is implementing big data artificial intelligence to provide accurate reference for e-commerce shopping. Tencent, based on its own resources in the game and social areas, takes the user's entertainment life experience as an entry point, and promotes the vertical layout of artificial intelligence in related fields by point diffusion. However, these are just budding layouts and do not have a mature market environment and product system. Artificial intelligence will be an extension of human intelligence, and will inevitably be one of the major trends in the future. However, it is still far from universality. From the market situation, the breakthrough point in the future will appear in the field of smart unmanned equipment. Intelligent unmanned vehicles are in the stage of arranging for the giants of global auto giants. On the other hand, the current drone market has been rapidly started, and intelligent drones with automatic tracking and intelligent obstacle avoidance have led to a leap in performance. However, artificial intelligence is a very challenging science. Although there have been some advances, although the iterative upgrade of Internet technology has become increasingly swift, but it is really necessary to achieve mass production, regardless of the product, market, or technology. Far way to go. It is too early to say that the era of artificial intelligence is coming. We still need to wait. Numerous technical problems urgently need to be broken With the development of the Internet era, unprecedented big data, higher-dimensional machine learning models, and more efficient feature-based intelligence have made continuous breakthroughs. However, these elements still have many technical difficulties that need to be broken. The technical difficulties, such as the timing of the data, the interpretability of the model, and the complexity of the feature engineering, are still the technical gap before the application of the artificial intelligence industry. At the level of technology research and development, the progress made so far is still in the initial stage. There is no obvious breakthrough in the higher level of artificial awareness and emotional perception.
According to statistics, the industrialization of artificial intelligence is booming. In 2015, the global artificial intelligence market was 127 billion U.S. dollars, and this year it is expected to reach 165 billion U.S. dollars. In 2018, it will exceed 200 billion U.S. dollars. There are 855 global artificial intelligence start-ups across 13 categories with a total valuation of more than US$8.7 billion. The various sensors that mimic the human five senses lack central control systems that are highly integrated and uniform in perception. The multi-source data obtained by each sensor cannot be integrated for collection, processing, and analysis. The application-level intelligent hardware platform, the service robot's intelligence level, perception system, and adaptability to different environments are subject to the level of artificial intelligence at the primary level of development. In the short term, it is difficult to have close to reasoning learning and analysis capabilities, and it is difficult to have close to human judgment. Therefore, despite the high hopes of artificial intelligence, there are also some "painting cakes" artificial intelligence technology that stays in the fantasy stage. True artificial intelligence products are rare. Although the pursuit of capital for artificial intelligence has always been undeniable, so far in 2016, a total of more than 200 companies focused on artificial intelligence completed nearly $1.5 billion in financing. But there are very few products, scenarios, and products that can be applied, let alone industrial applications. Because the data, the scene, and the artificial intelligence algorithm are indispensable, a good product will be born. Faced with the pursuit of capital by this industry, “virtual fire is greater than open flame†is very appropriate. In the opinion of many people in the industry, there are real scenes, products, entrepreneurs who can cut into the scene products, or entrepreneurs who really have data. Less. Many are products that experts who understand artificial intelligence do not have access to. In turn, many people have entry points on the product, but there may not be corresponding technologies for artificial intelligence. Although more and more companies are engaged in the research and development of artificial intelligence, in the eyes of the founder of the joint fund Qiu Hao, many robots are far from the intelligence we expect. Some of the products that are currently being seen are either truly interactive or so-called smart commercial divisions. They are also practical, and they are even a bit far from being useful. The artificial intelligence market is still in its embryonic state At present, the applicable field of artificial intelligence is not large, although according to the calculation of investment scale, the future will be a trillion-scale market scale, but at present the actual market transactions, there are few. The artificial intelligence market is still in the initial stage of incubation and cultivation. There is still a long way to go. This requires the strong support of the aforementioned technologies and products. From a global perspective, the application of artificial intelligence by various companies is generally in the budding and investment stage. Especially in the core technologies related to artificial intelligence such as voice recognition and image recognition, they are generally in the laboratory stage and have not yet formed. The system has not formed commercial barriers and industrial patterns. In April of this year, Baidu’s entrepreneurial projects such as unmanned vehicles and artificial intelligence were independent and managed directly by Li Yanhong, the founder of Baidu. Ali founder Ma Yun first proposed that the Internet has entered the DT era from the IT era. Ali's artificial intelligence strategy is based on the big commercial system of the DT era. With Ali's global e-commerce retail platform and cloud computing and big data platform advantages, Ali is implementing big data artificial intelligence to provide accurate reference for e-commerce shopping. Tencent, based on its own resources in the game and social areas, takes the user's entertainment life experience as an entry point, and promotes the vertical layout of artificial intelligence in related fields by point diffusion. However, these are just budding layouts and do not have a mature market environment and product system. Artificial intelligence will be an extension of human intelligence, and will inevitably be one of the major trends in the future. However, it is still far from universality. From the market situation, the breakthrough point in the future will appear in the field of smart unmanned equipment. Intelligent unmanned vehicles are in the stage of arranging for the giants of global auto giants. On the other hand, the current drone market has been rapidly started, and intelligent drones with automatic tracking and intelligent obstacle avoidance have led to a leap in performance. However, artificial intelligence is a very challenging science. Although there have been some advances, although the iterative upgrade of Internet technology has become increasingly swift, but it is really necessary to achieve mass production, regardless of the product, market, or technology. Far way to go. It is too early to say that the era of artificial intelligence is coming. We still need to wait. Numerous technical problems urgently need to be broken With the development of the Internet era, unprecedented big data, higher-dimensional machine learning models, and more efficient feature-based intelligence have made continuous breakthroughs. However, these elements still have many technical difficulties that need to be broken. The technical difficulties, such as the timing of the data, the interpretability of the model, and the complexity of the feature engineering, are still the technical gap before the application of the artificial intelligence industry. At the level of technology research and development, the progress made so far is still in the initial stage. There is no obvious breakthrough in the higher level of artificial awareness and emotional perception.
Information technology has penetrated into all areas of our lives. With the progress of technology, the iteration rate of laptops is getting faster and faster. Previous laptops mainly used E-SATA, FireWire, VGA, DisplayPort, SD card slot, USB A, 3.5mm headphone jack, HDMI or RJ45 ports.But manufacturers began stripping connectors from laptops to make them thinner and lighter. Most new laptops now have a USBC port (Thunderbolt or full-featured USBC) and an audio jack. The laptop is thin, but the missing ports are useless. This is where the USB C Hubs comes in.
Type C Usb Hub can support USB, PD, DisplayPort, Thunderbolt, and other protocols. Using USB HUBS, you can extend multiple common connectors directly to your laptop. Mosses are compact, so you can take them anywhere. All peripheral devices are centrally connected to the hub, which reduces the hassle of plugging in and out of the laptop port and makes your desktop cleaner. Let's take a closer look at its capabilities so you can determine how many ports you need.
So these are all important ports on the hub, with the exception of the 3.5mm audio jack. Also, while aesthetics are not important, choosing a nice hub will make you happier. There are rectangular, square, and circular centers on the market to meet your desk setup needs. Usually, the rectangular type is best for your desk because the cables can be well organized if all the ports are on one side of the center.
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Henan Yijiao Trading Co., Ltd , https://www.yjusbhubs.com