Open AI computing power
The types of chips that provide computing power for AI include GPU, FPGA and ASIC
GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering
FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future
ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC
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chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption
The development of single CPU can not meet the needs of practical applications, and the AI era must rely on parallel computing. At present, the mainstream architecture of parallel computing is heterogeneous parallel computing platform. If you need the service of computing power, you can go to the tenth power
in terms of computing power, we know that after we have data, we need to train and train constantly. Because it's not good to train the training set from the beginning to the end. It's just like saying a truth to a child. I'm sure I won't learn it again, except for the prodigy who never forgets. In addition to training, AI actually needs to run on hardware and reasoning, all of which need computing support
so artificial intelligence must have computing power, and with the development of more and more intelligence, more and stronger computing power is needed.
The top ten virtual currency trading platforms are: bitcoin China, Ethereum, Monroe, dascoin, reborn, etc.
Bitcoin China (BTCC), the first and largest bitcoin trading platform in China, is operated by Shanghai satuxi Network Co., Ltd., which was established on June 9, 2011. The team members are mainly from China, Silicon Valley and Europebitcoin China provides a reliable trading platform for users to buy and sell bitcoin through RMB
users can also save bitcoin safely in the platform
bitcoin China has achieved the best balance between high security and user convenience
4. Monro (code name XmR) is an open source cryptocurrency founded in April 2014, which focuses on privacy, decentralization and scalability. Unlike many cryptocurrencies derived from bitcoin, monero is based on cryptonote protocol and has significant algorithm differences in blockchain fuzziness
Dash, formerly known as dark coin, is a technical improvement on the basis of bitcoin. It has good anonymity and decentralization. It is the first digital currency with the purpose of protecting privacy. You can feel that it is liked by the black market when you listen to its name The main characteristics of Dashi coin are as follows:1
2. Instant payment function, timely arrival and low handling charge
on the afternoon of August 23, 2019, Huawei's Shenzhen headquarters released shengteng 910, the most powerful a processor, and launched a full scene AI computing framework Xu Zhijun, chairman of wheel of Huawei, said, Huawei has completed the construction of AI solutions for the whole station and scene, and will launch more AI processors in the future to provide more abundant, more economical and more suitable AI computing power but it gave him a good excuse. He kept shouting that the wolf was coming, the wolf was coming<
According to a judgment recently released by the Beijing Intellectual Property Court, Huawei sued the State Intellectual Property Office (SIPO) in the first instance after its trademark application was invalid and failed to achieve the expected result because the mobile computing architecture hIaI on its core chip was preempted by its partners. HIaI is Huawei's AI capability open platform for intelligent terminals. As a mobile computing architecture designed on Kirin 970 chip, the system has been upgraded to hIaI 3.0 to support multi terminal sharing of AI computing power{ RRRRR}
the categories of goods in which the trademark of liangfengtai is reserved are very similar to those in which Huawei's application is invalid. They all involve AI technology procts. If both parties pay little attention, they may cross the border and infringe the rights and interests of the other party, which is easy to lead to disputes. The inflow of disputed Trademarks into the market is not concive to the development of the parties to the dispute, but also to the business order& rdquo; From this point of view, it has a great impact on Huawei. I hope we can solve this trademark problem as soon as possible
From the emergence of chips to the advent of a variety of AI procts, the topic of mobile AI has become the main theme of the mobile phone instry at the end of this year
when communicating with many friends, everyone will ask the same question: if Huawei mate10 and other procts represent the beginning of mobile AI, what will the next mobile phone look like
indeed, AI's special processing capacity and hardware foundation are like the foundation of a building. The emergence of mate10 and other procts is just the beginning of the whole AI ecology. After that, the surprise that AI will bring to consumers depends on the fantastic ideas of various application and skill developers
earlier, we analyzed the possible face of mobile AI ecology from the technical logic. After a period of time, we learned about the new process of mobile AI ecology by interviewing relevant experts and leaders in the field of Huawei mobile AI
from the news of AI application that we are familiar with, the AI ability of cloud integration is likely to quickly brew killer application that we expect
the ability of mobile AI is just like a newly opened gate. The gushing of water will not only bring huge potential energy impact and experience collision, but also connect the previous different development, consumption and business ecology. From this perspective, the year 2018 of mobile phones may become an exciting number
the ecological map established by mobile AI is just a basic ability, and what kind of pattern can be made on the basis of the basic ability is what consumers finally expect. According to Huawei's introction, the mobile AI procts and platforms represented by mate10 will open up the capabilities of triple enabling application developers, from the release of chip capabilities to AI computing libraries and APIs brought by hIaI architecture, and then to the migration of mainstream machine learning platforms, which will empower developers from different perspectives to meet the needs of different applications for AI, And the demand of developing new applications for mobile AI system
under the systematic AI ecological blessing, the most direct change is that all kinds of mobile applications can easily enter the AI matrix. A lot of mobile applications that we all can reach and meet every day may be "dropped by Ai" from an unexpected angle
, gives you the most direct example of how you play everyday. These two apps, which feel particularly popular culture, have joined the Huawei developer alliance and began to upgrade their procts with the help of terminal AI's blessing ability
is it a bit cracked? Or never think that Kwai can be linked to AI? P>
but in fact, Kwai live, short live video APP, highlights the instantaneous sense of shock that is released on the screen. Many of the play methods we see, such as face effects, background effects and gift effects, actually need to use AI algorithm to achieve better experience upgrading and instant fit
, for example, if we record a super fast action of the quiver or fast hand video, then we want to have a video background replacement, and put ourselves and a blockbuster together. Then, using traditional algorithms and cloud AI capabilities, there will often be the embarrassment of insufficient motion capture and unable to clip the fast-moving protagonist out of the original background. The result is to make the original fun video full of flaws
and through the terminal AI task processing ability of Qilin 970, the algorithm can perfectly capture fast-moving people or objects, thus exerting a high degree of special effects and complete background replacement effect
according to the introction, in such live and short video applications in the future, it is not difficult to replace the host's face, body and even voice with AI. Tiktok: I think there are some horror...
, from now on, four applications have begun to join the AI instry ecology behind Mate10: 1 short video applications, such as Kwai, jitter. 2. Social platform applications, such as mobile network and QQ space, use AI to improve the efficiency of image and video search and recognition; 3. Translation applications, with the help of terminal AI to improve translation quality and localization efficiency; 4 beauty pictures and camera applications, the use of AI blessing fast and accurate beauty and landscaping effect
when AI becomes a certain prerequisite, it is obvious that the scope of brain holes of developers will be greatly improved. With so many applications joining the mobile AI ecosystem, we may not only notice the improvement of the inherent business, but also see the possibility of the jungle growth of mobile AI
growth, platform and commercial forest: why is AI concerned
for many video, social, translation applications, and even games and e-commerce that may appear in the future, what kind of directional changes will be brought about when a large number of traffic entrances join AI
in other words, when we start a new round of race through the mobile AI capability represented by mate10, what will our mobile phones look like after a period of time
judging from the current AI experience improvement, there are several possible answers to this question:
1. Recognition has become the main ability of mobile phones. In the interview, we learned that the next largest proportion of mobile AI capabilities will focus on recognition. For example, the above mentioned recognition of moving objects and background, face recognition and so on. In the future, after a large number of knowledge maps and computer vision technology mature, it is likely that the ability to understand the surrounding physical environment through the camera will appear. For example, the camera on the map shows the way, identifies food calories and nutrition units, identifies historic sites ring travel, and gives a professional explanation. The addition of these capabilities directly turns the mobile phone from a recording tool into an output tool, bringing about a comprehensive iterative application imagination
2. The diversity of video playing. Through the blessing of terminal AI processing ability, mobile phones can be connected with various complex Video Computing and blessing, and more games that can only be realized in PC will enter mobile phones. Video, live and game applications will clearly distinguish whether the mobile phone has been blessed by AI in front of consumers
3. Another growth space is for AR to return to the field of vision. Phenomenal applications like Pokemon don't continue to occur, largely because the computing power of mobile phones can't support more complex AR applications. Under the premise of mobile AI, the computing power and complex information processing ability of mobile ar will be improved. Ar will become the mainstream of consumer applications again, which is also a high probability event in 2018
The aggregation growth ofseveral ports is giving birth to a series of new business opportunities. As the basic capabilities are promoted, how to find their own opportunities in these trends will attract more and more developers, even well-known mobile platforms, to join the ecological jungle of AI. Behind these growth spaces, the mobile AI system, which provides capability support and open architecture, exudes a huge platform business imagination
it seems logical to rise to platform construction and commercial forest development through the NPU origin of Qilin 970. Therefore, the ecological possibility of mobile AI represented by mate10 will naturally receive wide attention
turning mobile phones into the eyes and ears of AI for ordinary consumers is perhaps the biggest mobile terminal revolution after touch screen interaction. The impact on the mobile phone instry, of course, is self-evident
a small prediction: the river network effect of mate10 in 2018 is not difficult to see that the advantages of complete ecological architecture are making the mobile phone we buy no longer a single proct, but the starting point of many changes
in other words, what consumers buy is not the complete embodiment of terminal AI, but the AI application foundation of continuous evolution and learning. From this point of view, the most likely situation for mobile AI in 2018 is that after the flagship planes are equipped with mobile AI chips one after another, the applied AI experience begins to be concerned and accepted by consumers. Subsequently, developers successively joined the sequence of function iteration with AI, so as to stimulate deep learning and other developers who were far away from the mobile platform to join this camp
this may be called the river network effect between the platform and the market: after the channel of AI terminal processing capacity is dredged, the water sources of application and development capabilities and technical capabilities in different directions will converge to form a broader water area. After consumers get water from this water area, more water conservancy facilities will join in to guide the development of technology market. Finally, a new mobile AI picture is outlined
the next more likely thing is that through hIaI architecture, the procts represented by mate10 integrate artificial intelligence development, mobile application development and visual experience upgrading development into a whole. We have seen many applications and developers invest in the new integrated development pattern. In the future, with the maturity of sensor system, algorithm and experience optimization technology, the whole ecological community will be further improved
in the year of AI terminal in 2018, the mobile AI and smart phone strategy represented by Huawei may usher in substantial iteration. Interestingly, in the wrong period of this market where other brands lack terminal AI capabilities, the rise of smart terminals and the lack of AI technology capabilities of competing procts will leave Huawei a blank window
perhaps this is the best opportunity for domestic mobile phones to challenge the development ecology of IOS and the leading position of Apple brand
(Wen / polar body)
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