IBM researchers recently published a paper, the paper describes the a so-called resistance type processing unit (resistive processing unit, the RPU) new chip concept, allegedly with traditional CPU compared. This chip can will be high to the original 30000 times the depth of the neural network training speed extract.

Depth of the neural network (DNN) is a multi hidden layer artificial neural network. The neural network can be carried out supervision and training, can also be used for unsupervised training. The results of is able to own learning machine learning (or called Artificial Intelligence), namely the so-called deep learning.

Not long ago, DeepMind (Alphabet) Google in the man-machine war beat Li Shishi AI Go program AlphaGo on the use of a similar algorithm. AlphaGo consists of a search tree algorithm and two multi layer neural networks with millions of neurons. In a network, called “network strategy” for computation of which step of the highest winning percentage of. Another network called “value network”, used to tell AlphaGo how to move the albino and sunspots are better, so that you can reduce the likelihood of depth.

As the outlook is good, many machine learning researchers have focused on the depth of the neural network. However, in order to achieve a certain degree of intelligence, these networks need a lot of computing chips, such as the number of AlphaGo used to calculate the number of chips to reach a thousand. So this is a consumption of computing resources, but also costly task. But now researchers at IBM put forward a new concept of chip and its powerful computing ability can be a top traditional chip thousands of, and if the thousands of this chip combined, AI in the future may appear more breakthroughs.

This chip called RPU mainly uses the depth of the learning algorithm and other two features: local and parallel. To this end ROU with the next generation of non volatile memory (NVM) technology concept, the algorithm uses the weight values stored in the local, so as to minimize the data movement during the training process. The researchers said that if the large-scale application of the RPU to 10 million weight depth of the neural network, the training speed highest can accelerate 30000 times, that is to say, usually need to thousands of machines training a few days to the results using this chip for several hours to fix and energy efficiency but also much lower.

Of course. This paper only presents a concept, the chip is still in the research stage. At the same time, in view of the common nonvolatile memory have not yet entered the mainstream market, so such a chip market is estimated to also need a few years time. But if the chip does so much calculation and energy efficiency advantages, I believe in AI research and application of giant will pay attention to Google, Facebook, IBM itself is AI, data one of the active participants, something if you do it is market should not have to worry about.

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Beidou satellite navigation system, members of the Committee of experts, Wuhan University of surveying, mapping and remote sensing, experts, the Chinese Academy of engineering surveying academicians yesterday to the Changjiang Daily reporter revealed that at present, Wuhan navigation and location-based services, Industrial Technology Research Institute (hereinafter referred to as the Wuhan Institute of navigation) to take the lead, and Wuhan University and other domestic research team cooperation, are working together on Beidou smartphones high accuracy positioning and navigation chip related standards, is expected to be the fastest in the end of this year advent.

“The development of this standard has been recognized by the relevant international organizations, has been accepted as a smart phone, such as high precision navigation services, the compass navigation sequence standard construction content.” Liu Jingnan said that after the adoption of the international industry certification standards, will become the compass in the field of smart phones with high precision positioning and navigation to the market and then to the world’s pass”. It is reported that the Wuhan navigation Institute of Wuhan dream core technology Co., Ltd. has successfully developed a high precision mobile phone with compass navigation chip last year, this year has been large-scale production, the market is about to put on the market. That is to say, is similar to the current commonly used American satellite navigation system GPS (global positioning system, GPS (Global Positioning System), perhaps soon, Beidou navigation system will also become the worldwide smartphone standard.

China’s independent research and development of high-precision satellite positioning system – the Beidou navigation system, is the international third satellite positioning system (the first two are the United States of America’s GPS and Russia’s GLONASS). Surveying said: a global satellite navigation system Beidou “by 2020 will be built, the standard positioning service accuracy can be better than 10 meters, high precision enhancement service positioning accuracy can reach meter level even Yami level, will be a financial global standard service and the multimode region enhanced services in one of the satellite navigation system. Compass also provides 120 Chinese characters short message communication services, authorized to achieve interoperability with the Internet and mobile internet”.

Currently, the Big Dipper mass application market is mainly concentrated in the mobile phone location services and vehicle applications two major market segments. At present, the market of our country is still in the standard application start-up period in the future, the compass application market share will be the largest. Data also show that from a global perspective, the personal terminal and vehicle navigation satellite navigation market accounted for more than 60% of the market.

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