Supervised Learning and Unsupervised Learning Based on Phase Change All Optical Neuron System

Recently, nature published a new research by IBM. The "all optical" deep neural network built with optical devices can be more energy-efficient than traditional computing methods, and has the advantages of scalability, no photoelectric conversion and high bandwidth. This discovery may lay a foundation for the emergence of optical neural network accelerator in the future.Optical fiber can transmit data all over the world in the form of light, which has become the pillar of modern telecommunications technology. However, if these transmission data need to be analyzed, they should be converted from optical signals to electronic signals, and then processed by electronic equipment. For some time, optics was considered as the basis of the most potential computing technology in the future, but compared with the rapid progress of electronic computers, the competitiveness of optical computing technology is obviously insufficient.However, in the past few years, the industry has paid more and more attention to the cost of computing energy. Therefore, optical computing system has attracted more and more attention again. Optical computing has low energy consumption and can be used as special acceleration hardware for AI algorithms, such as deep neural network (DNN). Recently, Feldmann and others published the latest progress of this "all optical network implementation" in the journal Nature.

Supervised Learning and Unsupervised Learning Based on Phase Change All Optical Neuron System 1

Deep neural network includes multilayer artificial neurons and artificial synapses. The strength of these connections, called network weights, can be positive, indicating neuronal excitation, or negative, indicating neuronal inhibition. The network will try its best to minimize the difference between the actual output and the expected output, so as to change the weight of synapses to perform tasks such as image recognition.CPU and other hardware accelerators are usually used for DNN calculation. The training of DNN can use the known data set, and the trained DNN can be used to infer the unknown data in the task. Although the amount of calculation is large, the diversity of calculation operations will not be very high, because the "multiplication and accumulation" operation is dominant in many synaptic weights and neuronal excitation.DNN can still work normally when the calculation accuracy is low. Therefore, DNN networks represent potential opportunities for non-traditional computing technologies. Researchers are trying to build a DNN accelerator based on new nonvolatile memory devices. This kind of equipment can also save information when cutting off the power supply, and improve the speed and energy efficiency of DNN through analog electronic computing.

So why not consider using optics? Light guiding components can contain a large amount of data - whether optical fibers for telecommunications or waveguides on photonic chips. In this kind of waveguide, the "wavelength division multiplexing" technology can be used to allow many different wavelengths of light to propagate together. Each wavelength can then be modulated (changed in a way that can carry information) at a rate limited by the available bandwidth related to electron to optical modulation and optoelectronic detection.Fig. 1 all optical pulse neuron circuitThe use of resonators enables the addition or removal of a single wavelength, just like the loading and unloading of trucks. The synaptic weight array of DNN network can be constructed by using micron ring resonator. The resonator can be thermally modulated, electro-optic modulated, or modulated by phase change materials. These materials can switch between amorphous phase and crystalline phase, and the light absorption capacity of different materials varies greatly. Under ideal conditions, the power consumption of multiplication and accumulation is very low.

Feldmann's research team has implemented "all optical neural network" on millimeter photonic chip, in which photoelectric conversion is not used in the network. The input data is electronically modulated to different wavelengths and injected into the network, but then all the data remains on the chip. Integrated phase change materials are used to adjust synaptic weight and integrate neurons.Fig. 2 pulse generation and operation of artificial neuronThe authors demonstrate supervised and unsupervised learning on a small scale - that is, training using labeled data (DNN learning) and training using unlabeled data (similar to human learning).

Fig. 3 supervised learning and unsupervised learning based on phase change all optical neuron systemBecause the weight expression is realized by light absorption, the negative weight requires a larger bias signal, which cannot activate the phase change material. An alternative method is to use the device of Mach Zehnder interferometer to divide a single waveguide into two arms and then recombine them. At this time, the amount of transmitted light depends on the difference of optical phase between the two propagation paths. However, it may be difficult to combine this method with wavelength division multiplexing, because the arm of each interferometer needs to introduce an appropriate phase difference for each wavelength.All optical implementation of DNN still faces major challenges. Ideally, their total power utilization may be low, and thermooptical power is often required to adjust and maintain the optical phase difference in each Mach Zehnder interferometer arm.

Supervised Learning and Unsupervised Learning Based on Phase Change All Optical Neuron System 2

Fig. 4 scalable architecture of all optical neural networkIn addition, the total optical power injected into the system containing phase change materials must be carefully calibrated to make the response of the materials to the input signal meet the expectations. Although phase change materials can also be used to adjust Mach Zehnder phase, there will be inevitable cross coupling between the intensity of light absorbed by materials and slowing down the speed of light, which will increase the complexity of the system.The traditional DNN has developed to a large scale, which may contain thousands of neurons and millions of synapses. However, the waveguides of photonic networks need to be far away from each other to prevent coupling and avoid sharp bending to prevent light from leaving the waveguide. Because the intersection of the two waveguides may inject unwanted power into the wrong path, which substantially limits the 2D characteristics of photonic chip design.

Fig. 5 experimental implementation of single-layer pulse neural networkIt takes a long distance and a large area to build a neural network for optical devices, but the manufacturing of key parts of each optical structure needs high precision. This is because the waveguide and coupling region, such as the inlet and outlet of each microring resonator, must reach the exact size required for the corresponding network performance. There are also many limitations on how to manufacture small microring resonators.Finally, modulation technology provides a weak optical effect and requires a long interaction region to achieve a significant level of limited influence on light passing through.

The progress made in the research of Feldmann team is expected to promote the future development of this field. This research may lay a foundation for the emergence of energy-efficient and scalable optical neural network accelerators in the future.

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High Cost! Chip Expensive! What Extreme Challenges Does 5g Business Model Encounter?
This site is original!(electronic enthusiast report text / Zhang Ying) the 5g market is making waves again. The recent three news are impressive. American media revealed that the price of 5g flagship mobile phones will rise significantly in 2021. It is reported that the current price of Qualcomm's 865 mobile platform is US $150. Considering that Huawei Hisilicon is unable to obtain TSMC's advanced chip with 5-nm process after being sanctioned by the US Department of Commerce, overseas media predict that the price of Qualcomm's snapdragon 875 mobile platform will reach US $250 per set. This is likely to lead to the sales price of the new 5g flagship mobile phone reaching more than $1000.Product list of five 5g chip manufacturersFigure: electronic enthusiasts sort out according to public dataOn July 28, American media reported that according to the latest data from countpoint, in the quarter from April to June, thanks to the continuous popularity and price reduction of iphone11, the sales volume of iPhones in China was 7.4 million, a year-on-year increase of 32%. The sales volume of Chinese mobile phone manufacturer Huawei was 36.6 million, a year-on-year increase of 14%. According to counter point research, 33% of the smartphone sales in China in the second quarter came from 5g phones. Analysts believe that Apple's iPhone 12, which supports 5g network, may sell well in the fourth quarter.On July 27, Guo Ping, Huawei's rotating CEO, said that the global 5g users had exceeded 90 million, and the global 5g deployment had come to an end. 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Using massive MIMO technology, the integrated antenna of industrial module is more complex than 4G module. Second, in the future, with product iteration, device integration will increase, and the size of 5g industrial module will be smaller in the future. Multi antenna array is deployed, and heat dissipation is required.Figure: Huawei 5g industrial moduleFigure: Dahua 5g cameraFigure: Acer z2-5g industrial gatewayFigure: Deli dv4000 live BackpackCui Fang, deputy general manager of the Technology Department of China mobile terminal company, told the media that 5g terminals are still in the initial development stage and are small in scale. The industry hopes that 5g terminals can be delivered in tens of millions of levels in 2020. Even if a 5g module is delivered in millions of levels, it is good.Product list of some domestic 5g module manufacturersFigure: electronic enthusiasts sort out according to public data.The person in charge of Aowei video told reporters that the company's product is 5g integrated video communication system, which is mainly used in live broadcast, industrial inspection, medical HD and other scenes. At present, there are two major pain points in the industry: 1. It has very high requirements for the network. Previously, it used a wired network. The cost of cabling and architecture is very high and inflexible. 2. When doing live mobile live broadcasting, the current method is to need a broadcasting vehicle, which has large investment and high cost. Wiring is a very big pain point. According to the author, the live broadcasting industry has tried to use 4G for live broadcasting before, but it is found that the 4G network capacity is not enough, which reflects the uplink and downlink speed, especially the real-time performance meets high requirements, and the experience is not good.Now, the video requirements of live customers have been transformed into 4K, 8K or even higher pixels. The backpack supported by 5g industrial modules solves this pain point: first, the characteristics of 5g network embB reflect large bandwidth and high rate. 5g provides uplink bandwidth of 100m, which is more than 10 times that of 4G network. It can not only support 4K, 8K, but also support multi-channel 4K and 8K, 5g high rate can also transfer some functions on the local broadcasting vehicle to the cloud; Second, save costs. Now a 5g camera and 5g backpack can complete mobile live broadcasting, which saves a lot of expenses compared with the live broadcasting car; Third, the mobile performance is outstanding. As long as there is an area covered by 5g network, the mobility of live video can be fully reflected.Bai Keke, general manager and vice president of MBB products of ZTE terminal business division, shared the case of subway private network. He analyzed and said: there are three pain points in traditional subway operation. Surveillance video is often blocked, emergency response time is long, and passenger flow prediction is difficult, which restricts the development of subway intelligent operation. "On May 28, ZTE and Guangzhou Mobile took the lead in realizing the world's first 5g SA rail transit private network at Guangzhou tower subway station, which can realize 5g full coverage of Guangzhou tower subway station. ZTE provides Guangzhou metro station with 5g module vm9000 and 5g slicing terminal mc801a products supporting network slicing technology based on Qualcomm Xiaolong x55, which realizes the subway scene application based on 5g technology, including fast identification of personnel at the entrance and exit gates through 5g broadband and low delay provided by 801A when security guards or executives wear ar glasses, The security personnel fully release their hands during inspection to improve efficiency. Then, the 4K HD camera with 5g module built-in can monitor the whole subway products in an all-round way without dead angle, solve the blockage problem of traditional subway video monitoring, and improve the efficiency of operation management.The cost of 5g terminal products is high, and industrial modules are subject to the superposition of multiple fees for chips, testing and patent licensingThe person in charge of 5g module manufacturers based on Qualcomm Xiaolong x55 platform once told reporters that the development cost of 5g module is high, and the main investment is divided into four parts: 5g module development requires a R & D team of at least 80 people and a one-year development cycle. In the 4G era, the license cost of the platform is basically $100000 to $500000. In the 5g era, the average license cost of the platform, whether Qualcomm or domestic 5g chip manufacturers, is more than $2 million; Third, the authentication fee of mainstream operators. 5g is multi band and the protocol is more complex. The authentication fee is basically 5 to 10 times that of 4G; Fourth, the investment cost of test instruments is also doubled. In the 4G era, the high-end instruments are about $100000. In the 5g era, they are basically 3 million yuan. In the future, with millimeter wave testing, one set of two will basically reach the level of 10 million. The superposition of these costs leads to huge expenditure on 5g module R & D.Cui Fang, deputy general manager of the Technology Department of China mobile terminal Corporation, also told the media that 5g network is still in the early stage of deployment, and the application scale of 5g subdivided industry has not been increased. In addition, due to the complexity of 5g, it also brings the problem of high product cost.5g communication industry is still in the running in period of demand docking with other industriesThe communication industry has not explored the needs of other industries deeply enough, while the industry customers have limited understanding of 5g technology, and there is a gap between the two. Considering the fragmented demand of the Internet of things industry, there is a large demand for innovative products, which also hinders the expansion of the industrial scale. Cui Fang, deputy general manager of the Technology Department of China mobile terminal company, said that the industry does not have a clear understanding of the terminal. Customers do not know how to add 5g communication products to industrial applications and how to form an effective product implementation scheme. It is unable to form a closed loop of information import, which also hinders the increase of product volume.Well known enterprises in the industry told reporters that in manufacturing enterprises, after operators provide 5g solutions, if the price of 5g network is very high, the original intention of industrial Internet transformation is to reduce costs. When enterprises can't see the business model of recycling investment, enterprises are not willing to pay for it.Wu Chao, director of CSC Securities Research Institute and platinum analyst, told the media that the most critical thing in the second half of 2020 is to focus more on the landing of 5g applications, whether from the perspective of investment or the evolution of the whole industry. The first wave of 5g investment has passed, which is driven by policy and technology. The second wave is the stage of business driving and industry leading.She pointed out that with the landing of 5g commercial rhythm and the improvement of terminal penetration, the penetration rate of 5g intelligent hardware is relatively high. In addition to mobile phones, such as cars, intelligent security, intelligent metering and white appliances, the penetration rate is relatively high. This is some application scenarios that we should look forward to. In 2020, HD live broadcasting will develop rapidly. Telemedicine, intelligent manufacturing and intelligent Internet connected vehicles will increase the demand for 5g terminals.In the future, how to increase the volume of 5g terminals will bring great variables with the outbreak of application demand in 5g industry. We will wait and see.This article is original by the electronic enthusiast network. It is prohibited to reprint without authorization. To reprint, please add the micro signal elecfans999.
This Time, We Will Not Talk About the 5g Qualcomm CES Conference to Show the Internet of Vehicles Solution
On CES, Qualcomm held a 50 minute press conference. This time, without talking about 5g, WiFi 6 and other technologies, Qualcomm spent a full 45 minutes explaining its future automotive solutions.At this press conference, Qualcomm launched the third-generation Qualcomm Xiaolong digital cockpit platform, demonstrated the on-board functions supporting Amazon Alexa, and announced the adoption of Qualcomm c-v2x solutions by Audi, Ducati and Ford.The third generation Qualcomm Xiaolong automobile digital cockpit platformThe new generation platform includes three new levels: Performance Series for entry-level, premiere series for midrange and paramount series for Supercomputing platform.The modular architecture design of the third generation Xiaolong automobile digital cockpit Series platform enables automobile manufacturers to provide diversified solutions to consumers. Its purpose is to change the in car experience and meet the needs of the next generation of advanced functions for higher-level computing and intelligence, including the highly intuitive AI experience of the in car virtual assistant, the natural interaction between the car and the driver, and various situational safety use cases.The platform supports immersive graphics and image multimedia, computer vision, AI and other functions, has heterogeneous computing functions, and integrates multi-core Qualcomm artificial intelligence engine AI engine, Qualcomm spectrum ISP, fourth generation Qualcomm kryo CPU, Qualcomm hexagon processor and sixth generation Qualcomm Adreno vision subsystem.It is reported that Qualcomm AI engine optimizes all Xiaolong's main cores, including CPU, GPU and hexagon processor. The new hexagon processor includes hexagon vector extensions (hvx) and tensor accelerator (HTA) for AI computing, which can more efficiently provide excellent AI acceleration for edge computing and machine learning examples such as natural language processing and object classification.The third generation Xiaolong automobile digital cockpit platform also has Qualcomm security processing unit (SPU) to protect personal and vehicle data, as well as Qualcomm vision enhanced high-precision positioning and computer vision processing capabilities based on camera, which can support a variety of use cases for lane level crowdsourcing driving data map construction.The new series of platforms are compatible with mainstream hypervisor third-party solutions and provide virtualization platform solutions, so as to help automobile manufacturers cope with the domain integration of digital instrument panel and information audio-visual system with increasing complexity.In addition, the three levels of the new platform adopt the same software architecture and framework layer, which is convenient for automobile manufacturers to configure unified software definitions for different levels of models, so as to realize collaborative user experience.At present, Xiaolong automobile digital cockpit platform supports highly intuitive AI experience, situational security, more intelligent navigation, rich visual experience and immersive audio.Supports Amazon Alexa's on-board featuresIn addition to the third-generation Qualcomm Xiaolong automotive digital cockpit platform, Qualcomm uses Amazon Alexa's natural language processing and speech recognition functions to show how highly intuitive voice based functions can transform the on-board experience of the next generation of vehicles, such as on-board virtual assistants and the natural interaction between vehicles and drivers.As the basis for supporting the new Alexa voice service development package released in 2018, Qualcomm intelligent audio platform can provide ready wake-up word detection, so as to support fast response and accurate voice activation.In addition, integrated hi fi audio playback and post-processing algorithms can achieve top-level sound quality, while advanced application processing functions bring customizable response experience. It is the basis for supporting the new Alexa voice service (AVS) development package released in 2018.As part of the in car demonstration, Qualcomm will also showcase Amazon music, prime video, fire TV and audible services.These demonstrations are based on Qualcomm's intelligent audio platform and can support immersive natural language instructions such as vehicle navigation, landmark points of interest and multimedia services, which is consistent with the daily home interaction supported by Alexa.Qualcomm's c-v2x solution has been adopted by Audi, Ducati and FordOn January 7, Qualcomm also announced cooperation with Audi, Ducati and Ford to accelerate the commercial deployment of cellular vehicle Networking (c-v2x) direct communication technology, so as to improve roadside safety and traffic efficiency, and promote the development of automatic driving.It is reported that c-v2x is the only v2x technology with a clear 5g evolution path and is backward compatible, aiming to provide reliable and consistent performance for actual driving scenes. While complementing other advanced driving assistance systems (ADAS) such as radar, lidar and camera systems, c-v2x direct communication supports a series of expanding safety use cases, and supports enhanced situational awareness through detection and direct exchange of key information.In addition, c-v2x attaches great importance to security, thanks to the existing secure transport layer and application protocols defined by automotive standards organizations including the international organization for Standardization (ISO), the European Telecommunications Standards Institute (ETSI) and the Institute of electrical and Electronics Engineers (IEEE 1609 Working Group).Compared with other deployment methods, c-v2x is very cost-effective because it can be easily integrated into all wireless modems to provide direct communication and network communication.At CES 2019, Audi, Ford and Ducati will demonstrate driving scenarios using c-v2x direct communication.
The New Breakthrough of Automatic Driving Technology Is Applied in the Field of High-speed Rail for the First Time
In today's intelligent technology, automatic driving technology will be applied in the field of high-speed rail for the first time. It is reported that the intelligent technology of Beijing Zhangjiakou high-speed railway (Beijing Zhangjiakou) has achieved comprehensive coverage, and the automatic driving technology of high-speed railway with a speed of 300-350 kilometers per hour will be applied in Beijing Zhangjiakou high-speed railway for the first time. In the future, the intelligent multiple unit train running on Beijing Zhangjiakou high-speed railway can automatically monitor and alarm the natural environment such as wind level, rainfall and snow depth, so as to ensure the real-time boarding of gale alarm information.On October 27, at the 14th China International Modern Railway Technology and equipment exhibition, He Huawu, academician of the Chinese Academy of engineering, vice president of China Association of science and technology and special technical adviser to the general manager of China Railway Corporation (hereinafter referred to as "China Railway General Manager"), mentioned in his speech that China has been in Guanhui, Dongguan and Dongguan in the Pearl River Delta Two inter city railways with a speed of 200 km / h between Foshan and Zhaoqing have opened automatic train operation technology (ATO). The automatic train operation technology of high-speed railway with a speed of 300-350 km / h is still blank in the world. This technology will be applied for the first time in Beijing Zhangjiakou high-speed railway.Beijing Zhangjiakou high speed railway is an important part of the fast track from Beijing to the West and North and the Beijing Tianjin Hebei intercity railway network. It is a major transportation infrastructure for the 2022 Beijing Winter Olympic Games. China Railway Corporation proposes to build Beijing Zhangjiakou high-speed railway into a "high-quality project and intelligent high-speed railway".He Huawu comprehensively introduced the intelligent coverage level of Beijing Zhangjiakou high speed railway, which is reflected in three aspects: intelligent equipment, passenger oriented intelligent service technology and operation and intelligent construction.He Huawu revealed that on the Beijing Zhangjiakou high-speed railway, the future will be based on the "Fuxing" Chinese standard EMU platform to develop intelligent EMUs with self sensing of working status, self diagnosis of operation faults and safety oriented self decision-making.In terms of power supply system, the vehicle will be equipped with an intelligent power supply system composed of intelligent power supply equipment, intelligent power supply dispatching, intelligent power supply operation management and communication network to realize the functions of intelligent fault diagnosis, early warning, self-healing and reconstruction, and form a health assessment system of power supply system.The dispatching system will build an intelligent dispatching command system of high-speed railway based on artificial intelligence to realize the functions of intelligent dynamic dispatching, intelligent collaborative control, intelligent transfer dispatching and intelligent fault diagnosis, so as to optimize the overall train dispatching efficiency of the road network, improve the emergency decision-making and processing capacity of the system, and improve the operation efficiency and passenger satisfaction.He Huawu also said that in the future, the intelligent EMU trains running on the Beijing Zhangjiakou high-speed railway can automatically monitor and alarm the natural environment such as wind level, rainfall and snow depth, so as to ensure the real-time boarding of gale alarm information. It can also realize earthquake early warning and automatic emergency disposal, and automatically alarm and prevent illegal intrusion along the line.The future operation and maintenance of Beijing Zhangjiakou high-speed railway EMU trains will also be intelligent. He Huawu said that in the future, advanced technologies such as big data, in-depth learning, fault prediction and health management (PHM) and augmented reality will be applied to realize the whole process management of technical equipment, improve the intelligent level of maintenance of technical equipment such as EMUs, reduce the full life cycle cost of equipment and improve the transportation efficiency and safety level.China Railway Corporation will launch a number of intelligent services for Beijing Zhangjiakou high speed railway, including: improving 12306 website and self-service facilities; Support multi language foreign bank card payment; Expansion ticket forms (regular ticket, connecting ticket, frequent travel ticket, etc.); It can realize electronic ticket, face brushing, station entry and ticket checking; Provide travel planning and information services, as well as WiFi full coverage and in station navigation services; It can realize baggage check-in and synchronous security inspection, and provide personalized and barrier free services.On the other hand, the high-speed railway station closely related to passengers will also realize intellectualization: the station provides intelligent guidance and self-service facilities, which can realize the intelligent perception of station operation (illegal intrusion identification, abnormal detection of crowd aggregation and diffusion, environmental monitoring and regulation, etc.), realize the intelligent monitoring and management of station equipment, and is equipped with air source heat pump Energy saving and environmental protection technologies such as closed pneumatic conveying of waste.It is reported that at present, the Beijing Zhangjiakou high-speed railway project is under construction. It also has intelligent application in project construction management and infrastructure detection and monitoring.For example, the construction of Beijing Zhangjiakou high-speed railway project takes BIM GIS technology as the core, comprehensively applies the new generation of information technologies such as Beidou satellite positioning, smart IOT and mobile Internet, completes the automatic collection and information interconnection of data in the construction process and test site, and constructs a full-life traceable closed-loop management system and comprehensive management platform for project construction quality.In the intelligent detection and monitoring of infrastructure, it can realize the safety monitoring of key engineering structures such as Badaling Great Wall underground station, intelligent perception and safety early warning of key turnout status, and intelligent data analysis, processing and application.
Qualcomm Helps Datang Snipe Low-end Chip Players
On the 20th anniversary of the founding of the chip company MediaTek, its competitor Qualcomm gave a "big gift" that was not very kind.On the morning of May 26, Qualcomm announced its cooperation with Datang Telecom to enter the medium and low-end mobile phone chip market. Datang Telecom (600198. SH) announced on the evening of the 25th that the joint venture, called Lingsheng Technology (Guizhou) Co., Ltd., mainly focuses on the consumer mobile phone chip market, with a registered capital of RMB 2.984 billion, of which the two capital parties, Beijing Jianguang and Zhilu capital, hold a total of 52%, and Qualcomm and Datang Telecom hold 24% respectively."Based on the price of mobile phone market, we think the main market price is about $100. This market is global, not only domestic, but also foreign. We have considered it." Christiano, executive vice president and President of QCT of Qualcomm technologies. Amun said in an interview with reporters including China first finance and economics after the meeting.For Qualcomm's cooperation, Wang Yanhui, Secretary General of the mobile phone alliance, told reporters that after 18 months of talks before and after the cooperation, Qualcomm's model is more suitable for capturing large customers. The joint venture should mainly target small and medium-sized customers or medium and low-end customers. This part was not the focus of Qualcomm before, and the future effect remains to be paid attention to.Leverage to stir up the low-end marketDatang announcement disclosed that Lingsheng technology mainly focuses on the consumer mobile phone market, and its business scope mainly includes design, packaging, testing, customer support and sales related to chipset solutions, technology development, technology licensing, technical consulting, technical services and software development.The person in charge of Qualcomm said that by establishing such a joint venture, Qualcomm can expand the low-end market on the one hand and lay the foundation for new markets in the future, such as the Internet of things.In fact, in the past, although it coveted the low-end market, Qualcomm has always refused to be labeled as a low-end market, and the move of leveraging Datang was evaluated as "very technical"."Qualcomm has always wanted to make high-profit products, such as the medium and high-end mobile phone market, the Internet of things and UAVs. The attitude of the low-end market is that it does not want to give up, but it does not want other companies to become bigger. Therefore, this cooperation with Lianxin should be able to charge licensing fees. Licensing fees are a model that does not need to spend a lot of money but can obtain good profits." Yan Zhan, research director of counterpoint, told reporters.For Datang, the cooperation with Qualcomm is also a way to break through the existing business bottleneck.According to the financial report, Datang Telecom achieved a revenue of 7.230 billion yuan in 2016, a year-on-year decrease of 15.96%; The net loss was 1.776 billion yuan, while the net profit in 2015 was 28.44 million yuan.Although Datang Telecom began to try to improve its mobile phone chip business in 2014, first authorized its main integrated circuit design enterprise Lianxin technology sdr1860 to Xiaomi mobile phone in November 2014, and then planned to acquire the mobile phone business of Marvell, an American chip company, but it failed to land in the end.It is reported that the cooperation with Qualcomm has been carried out since the beginning of 2016."We have talked for almost 18 months. Previously, Lianxin personnel have been learning Qualcomm's platform and providing technical support to some Qualcomm customers," Wang Yanhui told reporters.However, some domestic chip manufacturers who did not want to be named told reporters that at present, Lianxin basically stopped the research and development of mobile phone related chips and only did some government procurement and industry customers. If Qualcomm is not willing to do technology input, the impact on the industry will be limited.Capital promotes marriageThe entry of social capital is an important factor in the cooperation. Beijing Jianguang and Zhilu capital hold 34.6% and 17% respectively.At the press Q & a meeting, the relevant person in charge of Jianguang capital told reporters that investing in the project pays attention to two points. One is its future business sustainability, and the other is its strategic significance to our overall strategic layout."Next, we will make a new layout in the direction of communication, combining the advantages of Qualcomm and Datang. We hope the new company can be in a leading position in the world, and we also believe that the company's profit margin is relatively high." the above person in charge told reporters, "We are now focusing on the field of wireless communication, but you can see that in the past development process of wireless communication, mobile phone is only a platform. We think this is a strategic commanding height, so we must invest in it and we will continue to support the company."It is reported that CCG, an information industry investment platform under China construction investment, has attracted much market attention due to its two large acquisitions of the product line of NXP semiconductor in the Netherlands.In fact, since the State Council issued the outline for promoting the development of the national integrated circuit industry and the formal establishment of the national integrated circuit industry investment fund, the M & a boom in China's semiconductor industry has been ignited. According to incomplete statistics, the total scale of local funds announced by various localities has exceeded 200 billion yuan, which has become an important supporting force in China's integrated circuit ecosystem.In line with this trend, Qualcomm has also established joint ventures with governments and enterprises in many places.Yan Zhanmeng told reporters that this cooperation is in line with Qualcomm's consistent style, but whether the authorized new companies have Qualcomm's core technology input is the key, such as CDMA integrated IP authorization. However, in the question and answer of reporters, Qualcomm did not explain this issue in detail.MediaTek did not comment on the news.
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