Big data + AI empower area medical digital, build new structure of industrial ecotropic circles

"Since May 2020, Chongqing Nanpeng Artificial Intelligence Science and Technology Research Institute has cooperated more than 20 hospitals in the western province, with more than 40 cumulative cooperation projects. Among them, the health medical large data innovation platform project has been nearly 10 in Chongqing.The hospital is online, and the hospital is more than 5. In addition to Chongqing, Nan Peng Institute has been cooperated with more than 10 medical institutions in the western province. "In the health medical big data and artificial intelligence application innovation platform project landing Chongqing two rivers New DistrictAfter more than a year, Guangzhou Tianpeng Computer Technology Co., Ltd. ("Tianpeng Tianyuan Data") President, Chongqing Nanpeng Artificial Intelligence Science and Technology Research Institute ("Nanpeng Research Institute") Executive Dean Lu Guanglin recently announced the mediaProject propulsion.

Zhong Nanshan bring the team to create a "big data cloud platform respiratory specialist."

Guangzhou Tianpeng Computer Technology Co., Ltd. (Tianpeng Tianyuan data), is to provide a large area of ??Medicine and the National High-tech data center construction company artificial intelligence data services and applications.

Keen Tianyuan data, Peng Peng Institute and Cornell data relying on the Guangzhou Institute of Respiratory Health, in cooperation with experts academician Zhong Nanshan, etc., through accurate data and artificial intelligence technology-driven, has established regional "respiratory medicine big data cloud platform "" big data respiratory medicine quality control platform "and other platforms and applications, covering major medical institutions in the region and to achieve interoperability of medical data, for the municipal areas of respiratory medicine big data to predict areas of Chongqing Municipality smart infectious diseases and emergency medical treatment areas construction of three platforms to lay a solid foundation, to promote large data Liangjiang New area, Chongqing and even the western region, the integration of artificial intelligence and depth of major health industry, to enhance local clinical research, epidemic prevention and control, public health emergency, health services, clinical big data research, real-world study, chronic disease management, medical quality management, improve the health of the people, the establishment of large health care and public health data management system, to create a new pattern of industry ecosystem to provide strong support.

Construction of regional tertiary care institutions collaborative network to promote the classification diagnosis and treatment

2020 May, Chongqing Liangjiang New Area Management Committee, the Guangzhou Institute of Respiratory Health, Guangzhou Tianpeng Computer Technology Co., Ltd. started "healthcare big data and artificial intelligence application platform for innovation" cooperation, the establishment of Chongqing Peng Kang Data Co., Ltd. (referred to as "Peng Kang big data") and Neil Chongqing Institute of artificial Intelligence Technology Co., Ltd. (referred to as "Neil Research Institute"), to undertake large health care data related topics west six provinces. Keen Tianyuan data, Guangzhou Institute of Respiratory Health, Chongqing Liangjiang New Area Government’s "1 + 1 + 1 mode," the official landing.

Chongqing Liangjiang New Area healthcare big data and artificial intelligence application platform for innovation projects signed

Neil Institute / Peng Kang big data specialist area deployed big data platform system, is the establishment of regional tertiary care facility collaborative network: including grassroots community hospital early screening for chronic respiratory diseases; secondary hospital diagnosis, evaluation and treatment; difficult referral to a tertiary hospital diagnosis and treatment of disease; patients back to grass-roots community rehabilitation hospital management.

"As of October this year, Keen Tianyuan data, Neil Institute / Peng Kang Big Data has completed the Chongqing Municipal People’s Hospital (Hospital of Chongqing University, Chinese Academy of Sciences), Chongqing Liangjiang New Area People’s Hospital, Lijia community health service centers, nearly 10 top three, dimethyl hospitals and community health care institutions on the line to complete the ‘respiratory medicine big data cloud platform’ construction, the country’s first region-wide open upper respiratory specialist medical big data platform tertiary care institutions and sharing cloud platform line-forming region medical quality control network. "Lu Guanglin introduced to.

Help grassroots respiratory disease early detection and treatment

As part of health care innovation platform for big data projects, in August 2020, Keen Tianyuan by the data, the South Research Institute Peng / Peng Kang big data with pulmonary function tests in Chongqing Liangjiang New Area Lijia, and the other five community health service centers equipment, and on-line lung function wisdom screening system that uses artificial intelligence technology help community hospital doctors who have completed pulmonary function screening and audit reports, to improve to chronic obstructive pulmonary disease, asthma screening efficiency as the representative of chronic respiratory disease.

Before community residents must go to the big hospital for early screening, but for now their doorstep device checks at Community Hospital, 15 minutes to get the results, and then the data is automatically uploaded to a higher level medical institutions, hospitals and primary hospitals are involved in higher-level inspection process, turn down when attending the mutual recognition of inspection reports, reduce duplication of inspection, reduce the economic burden on patients.

People in the community hospital for check-ups

In June, the national multi-center clinical study led by academician Zhong Nanshan First Affiliated Hospital of Guangzhou Medical / Respiratory Guangzhou Institutes of Health / National Center for Respiratory Medicine / National Respiratory Disease Clinical Research Center launched the "Albuterol and ipratropium bromide early treatment of chronic obstructive pulmonary disease project "started, the sub-center clinical study of seven provinces and cities involved. As a research collaboration units of sub-centers in Chongqing, Neil Institute will be involved.

It is reported that the project is intended to promote the diagnosis and treatment of COPD treatment from a passive mode to early screening, early diagnosis, early treatment modalities, to improve lung function decline in patients with increased lung function reversal rate, reduce exacerbations, and improve quality of life symptoms, reduce the burden on the patient’s family and the country.

"Albuterol and ipratropium bromide in the treatment of early chronic obstructive pulmonary disease project" National online startup

Big Data platform from respiratory specialist disciplines extension up

Currently, many provinces Tianpeng Tianyuan data, Neil Institute / Peng Kang big data and the Guangzhou Institute of Respiratory Health team of experts, cooperation model of two rivers and the western city of Chongqing has a full range of promotion, "healthcare big data and artificial intelligent application innovation platform "to promote content from respiratory specialist area of ??large data cloud platform to pediatrics, and plans to expand to more specialist oncological, neurological, cardiovascular, and gradually realize big data platform specialist focus full coverage.

In July this year, the Chongqing Children’s Hospital Research Institute affiliated with the Medical University of South Peng formally signed a strategic cooperation health project "Children respiratory illness big data platform cooperation agreement" designed to "big data + artificial intelligence" enabling Chongqing Children’s Hospital respiratory specialist medical research development, and jointly promote the reform and innovation of Chongqing health care industry, a project will be implemented from Chongqing eight hospitals.

At the same time, chronic disease management in cooperation with the six provinces in western medical institutions, large and biological data repository Cloud Platform and other projects are also under construction.

[Reporter] European Xu Jiang

[Author] Xu Jiang Europe

Healthy living area

Under the new exhaust: Embedded AI learning training project (with 20G code information / learning video)

Some fans ask me: "What is the wind port of embedded developers?"

Painted outer sound: The nature of the wind is, in fact, it is an imbalance in talent supply and demand for a while. To put it bluntly, it is due to the industrial mutation, keen capital quickly enters, leading to a lot of development in a short period of time, require a lot of developers.

The current embedded development is increasingly inclined to intelligence, that is, what we said is intelligent hardware (hardware + software).

Taking the Baidu robot as an example, the core of the robot is the brain, that is, "data and algorithm", but the robot’s large brain machine body body can be active as human beings, can say that it will be said, walking, then you must rely on embedded technology.

Although the artificial intelligence has been in the year, it is a large stage of the real business that is in the field of the IoT side AI embedded, which has a very huge application scenario.

Therefore, I personally think that under the promotion of Internet of Things and artificial intelligence, embedded will usher in more development opportunities in the next 5-10 years, on the one hand, embedded development will usher in more application scenarios, another The technical system in terms of embedded development will also gradually abundantly, thus expanding the technical boundaries of the Internet of Things.

There have been many AI frameworks that have gradually supported end-side AI, such as Google’s Tensorflow Lite and Tensorflow Lite Micro, and Huawei’s Mindspore Lite. Chip vendors ST and NXP have also introduced some of the tools and DEMOs that are partially-oriented.

I have been engaged in embedded development work, and I have always paid attention to the development of embedded AI. I believe that with the arrival of the 5G era, AI has huge potential in various industries.

The technical personnel under every air is always the most difficult job, since the mobile Internet, excellent developers have been doubled.

At the moment, I personally optimistic about the development potential of the embedded AI industry in the future, and don’t have to be too anxiety that has developed to the bottleneck. First of all, it is first to consolidate your strength, let yourself caught when you come. Live it.

Then, in such a era, I have recommended 3 o’clock to improve their workplace value:

  • Further enriching its own knowledge structure, you must focus on artificial intelligence technology;

  • Pay attention to the accumulation of industry experience, there are very many links in embedded development and industry (future embedded development gradually covered with traditional industries);

  • Pay attention to related technologies in industrial Internet.

Recently, a set of AI entry must-have learning materials, strongly recommending everyone to learn, the author Wang Xiaotian, has a practical experience in the 8 years of human intelligence, and is currently at one of Bat, the AI ??algorithm senior technical expert, France TO3 colleges and universities (Computer Science Graduated from Milotics.

He issued more than 10 papers in artificial intelligence and chip field, with deep academic backgrounds and extensive experience in projects and business.

During the work period, it is mainly responsible for the work of artificial intelligence line CV and NLP related algorithm, promoting human machine mixing intelligence, semantic segmentation, machine translation, iris identification and other modules of core algorithm research and optimization. There is an in-depth study of image classification, object detection, target tracking, automatic driving, computer architecture, etc.

He has theory and actual experience, knowing that beginners learn pain points. To be honest, people such as such qualifications are very difficult.

Due to work needs, I am also studying in this tutorial. Although I have been engaged in this industry for many years, when I look at this tutorial, I can still check the shortage, harvest, I believe that it is Ai entry, or already already have already A certain work experience, this learning information is worth learning.

All all relevant content have been packaged, and the summary has a link to Baidu cloud. The little intimate is that some brothers don’t buy Baidu Cloud members, and can download 2MB + / s speed. Specially prepared the download tool for everyone.

get it right now

Next, I will introduce it in detail, how do this information learn?

First, entry AI, master a deep learning framework is one of the necessary survival skills.

Therefore, the tutorial will start from the deep learning framework, bring you from scratch training network, to independently build and design convolutional neural networks (including mainstream classification and detection networks), and conduct training and reasoning of neural networks (involving pytorch, tensorflow Multiple mainstream frameworks such as Caffe, MXNET, let you master a variety of depth learning open source frameworks through actual combat.

Intercepting the Framework Learning Site Directory Everyone feels.

Deep study and neural network

  • Deep learning profile

  • Basic depth learning architecture

  • Neurons

  • Activate function detailed solution (Sigmoid, Tanh, Relu, etc.)

  • Sensibility understand hidden layers

  • How to define a network layer

  • Loss function

Reasoning and training

  • Neural network reasoning and training

  • Detailed BP algorithm

  • Normalized

  • BATCH NORMALIZATION

  • Solve the fit

  • DrOPOUT

  • Softmax

  • Training process of hand pushing neural network

Training neural network from zero

  • Use Python from zero to achieve neural network training

  • Experience summary of building neural networks

Deep learning open source framework

  • Pytorch

  • Tensorflow

  • Caffe

  • Keras

  • Optimizer detailed (GD, SGD, RMSProp, etc.

In terms of computer visual technology, the system will systematically explain the convolutional neural network, target detection, OpenCV, etc., from the test model teaching, gradually, until the core capacity of the CV algorithm is reached.

Online-related AI has a lot of entry resources, but many technical content is too small, no system, or write uncommon and semi-understanding, duplicate content accounts for the vast majority (herein, there is a variety of search results of Baidu here).

Painting outside: Homogeneous tutorials have a sufficient, pay attention to screening, do not waste unnecessary time.

get it right now

Bed length artificial intelligence tutorial free expansion 130 – true and false

Friends, if you need to reprint, please indicate: [https://blog.csdn.net/jiangjunshow] (https://blog.csdn.net/jiangjunshow)

Disclaimer: During the teaching of artificial intelligence technology, many students will mention some Python related questions, so in order to let students master more expanded knowledge to better understand the AI ??technology, I will let the assistant responsible for sharing this Python series tutorial, hope Can help everyone! Since this Python tutorial is not written by me, it is better to teach humble as my AI technology, and learn to be boring; but its knowledge point is still a bit, and it is worth reading! Classmates who want to learn Ai technology can click to jump to my [Teaching Website] (https://www.captainbed.net/csdn). PS: I don’t understand this article, please see the previous article first, and gradually gradually learn every day, I will not feel difficult!

In Python, like most programming languages, integer 0 represents false, integer 1 representative. However, in addition, Python also treats any empty data structure as a false, regarding any non-air data structure as true. The concept of true and fake is inherent attributes of each object in Python: Each object is not true, as shown below:

? If the number is non-zero, it is true.

Other objects are true if it is not empty.

Python has a special object: None, it is always considered to be fake. This is a special data type in Python, which plays an empty placeholder, similar to the NULL pointer in the C language.

You can initialize a list with 0, but if you still don’t know the content of the list, use None more appropriate:

“ `

>>> l=[none] * 100

>>> L

[NONE, NONE, NONE, NONE, NONE, NONE, NONE, …]

“ `

Python’s Boolean BOOL is just a custom version of integers 1 and 0. Such a design is to make the true value more clear.

Python also provides a built-in function BOOL that can be used to test a Boolean value of an object:

“ `

>>> BOOL (1)

True

>>> BOOL (‘spam’)

True

>>> BOOL ({})

By intelligent manufacturing energy! Nanjing Wisdom Park to create high quality development model

The 2021 World Intelligent Manufacturing Conference will be held in Nanjing from December 8th to December 10. At that time, the world’s intelligent manufacturing industry big coffee, experts scholars, industry elites will show the latest technology and top products of intelligent manufacturing in the conference. Recently, the reporter followed the organizing committee into several industrial parks in Nanjing, understanding the achievements of smart industrial parks in promoting digital transformation and empowering industrial development.

Accelerate industrial transformation and development to do a good job in industrial layout

"In the past, it takes a month to manufacture the entire subway car. Now there is intelligent manufacturing, only one week can produce a subway." Xu Xiujun, deputy general manager of Jiangsu Zhongxing Digital Technology Co., Ltd. Co., Ltd. Is a specialized enterprise with a comprehensive intelligent manufacturing comprehensive solution, and an overall solution to traditional manufacturing output intelligence. At present, the digital products and solutions of the middle cars are applied to multiple fields such as rail transit, mechanical manufacturing.

"Compared to intelligent manufacturing and traditional artificial, one is greatly reduced production cycle, and the second is that the quality of the product is also greatly improved, and it is more fine." Xu Xiujun said.

Jiangbei New Area Intelligent Manufacturing Industry Park has a deep rail transit production manufacturing basis. In this context, Jiangsu Zhongxing Digital Technology Co., Ltd. came into being. The industrial manufacturing multi-business synergy system is constructed, starting from the "Intelligent Manufacturing + Business Cooperation", combined with industrial Internet technology, forming a complete manufacturing system of digital, networked, intelligent and corporate business, hardware and software linkage, meeting high-end equipment Personalized customization of complex parts.

"Jiangbei New District Intelligent Manufacturing Industry Park focused on electronic information and large health, around the two industries, the park is stepped by step to strengthen the industrial energy level, the energy development kinetic energy." Chen Hongbin, the intelligent manufacturing industry park statistics station, Jiangbei New District In the past 5 years, the park around the overall requirements of high quality development, focusing on "two cities and one center", accelerating new and old kinetic energy conversions, and promoting the leading industry to make great strength.

It is understood that the new district around the industrial layout, the park support, encourage enterprises to market demand-oriented, good technology system layout, and actively encourage enterprises to strengthen R & D power operator, to break the key blocking points, adapting software to enhance energy levels, build the hardware, software linkage development pattern.

Leading Innovative R & D convergence "smart" talent

Intelligent cleaning robot, robot disinfection epidemic prevention, spinning robots, intelligent robots …… retail in Nanjing Kirin Technology Innovation Park, there is a focus on robotic automation systems integration, intelligent robotics and vision inspection systems for civil, entertainment robots developed by the company – Nanjing King Yao intelligent Technology Co., Ltd. In this company, "robots map" display on the wall, you can see the robot is used in a wide range of different industries and fields.

"Our products have been deep into different industries, such as industrial manufacturing, aerospace, logistics, security, etc., according to the company, the industry needs to help develop the appropriate robot products that can greatly enhance the performance of the industry." Nanjing King Yao Intelligent Technology Deputy General Manager Liao Yongxiang introduction, there is a smart product inspection robot, designed for high-speed rail chassis, parts and other safety testing, compared with the manual, check the robot more accurate, more efficient manner, can help immediately removed Security risks.

Relying Park, Nanjing King Yao Intelligent Technology Co., Ltd. has also been a lot of research and development personnel. Deputy director of Kirin Technology Park Zone Economic Development Bank said Yu, Nanjing Kirin Technology Innovation Park has a rich scientific and educational resources, more than 30 colleges and universities in Nanjing University, Southeast University, Nanjing University and other distributed around the park, the park development It provides a wealth of technological and personnel support. Park Nanjing Kirin Technology City for the development of the carrier, the CAS Nanjing Branch of "a hospital four" University Chinese Academy of Sciences Nanjing Institute at the core, gathering system and technological innovation resources Chinese Academy of Sciences, has taken shape in the CAS "1 + N" (National Science and Technology Institute of China Nanjing Institute + number of Chinese Academy of Sciences Institute) system innovation and development, and efforts to introduce outside the province well-known university research institutions, to create "a multi-hospital school" scientific and technological innovation layout.

"The combination innovation technology park resources and advantages, we strive to create artificial intelligence, information technology, science and technology innovation are two peaks, and actively introduce corporate headquarters, the Internet service platform for enterprises and other emerging economies formats, build ‘two high and one new’ economic development pattern." Yu line said.

Improve the supporting services to promote enterprise development

Nanjing Liuhe CNC machine tools Industrial Park was established in June 2001. 56 existing enterprises, of which, 18 Taiwan-funded enterprises, companies on regulation 32, 70% of corporate concentration in the streets Xiongzhou CNC machine tool industry park. The main products are machine PCB, PCB drilling machine, special machine tools, machining centers vertical and horizontal, vertical gantry rail surface grinding machine, CNC lathes and the like.

"The initial formation of industrial cluster development trend is relatively complete processing chain, forming a mold – Casting – Machining – Heat treatment – grinding – a relatively complete industrial chain of machine tool" Plot CNC machine tools Industrial Park Administrative Committee Director of the office Liguangtian said, the park set up by the mayor as head of the CNC machine tool industry working group to promote the Liuhe District, regularly scheduled planning to implement elements of land development of CNC machine tools, and other supporting personnel policy.

Nanjing Zhejiang CNC Machine Tools Co. is a representative of enterprises in the park. Nanjing Zhejiang CNC Machine Tool Co., Ltd., general manager Tan said printed books, Nanjing, Zhejiang CNC Machine Tool Co., Ltd. is a high-tech enterprise, relying on the development of the park, the company from product type, degree of automation, intelligence and so on has been greatly improved .

"Now the park is also planned personnel policy, but also conducive to the introduction of talent, but the park also help us improve the workplace, workplace upgrade, to ensure the orderly conduct of the project." Tan said printed book.

It is reported that 2025 Kuni CNC machine tool industry chain in Jiangsu Province will play a strong chain of CNC machine tool industry, 30 billion strategic emerging industry clusters. 2030, will build a 50 billion national strategic emerging industry clusters, the CNC machine tool industry park into a national high-end equipment industry base cluster.

Expert Interpretation: intelligent manufacturing industry for the future development of new energy Fu

Nanjing University of the Yangtze River Industrial Economy Research Institute, researcher Liu Chen said the Intelligent Manufacturing itself is an important industry, on the one hand it comes to information technology, software, artificial intelligence software technology, on the other hand involves sensors, intelligent equipment and other intelligent hardware. "Nanjing, the development of intelligent manufacturing has a very good foundation, because both Nanjing good information technology infrastructure software, also has good equipment manufacturing base."

In the digital economy, intelligent manufacturing industry can be energized. Chen Liu said, can be intelligent manufacturing-based, large-scale technological transformation of enterprises, a series of cloud technology, information technology for development, to extend all kinds of industry chain, to improve the level of automation. Meanwhile, the Intelligent Manufacturing also that the majority of SMEs to provide a relatively low cost, efficient technology sharing platform for the majority of SMEs.

In addition, there is an important direction of intelligent manufacturing and related industries is the Internet. Chen Liu Jieshao, the Internet industry there are two forms, one form of a focused area, covering the Internet industry in the context of regional industrial clusters of. The second form is based on the main business circumstances leading enterprises, chain, covering the Internet industry in a particular scenario, there is a good case in this regard, such as Jiangsu Xugong Group, it is to represent the Internet industry in my country.

Liu Chen seems, to Nanjing, the intelligent manufacturing to give priority to important leading industry energize Nanjing, Nanjing, such as information technology industry, chemical industry and so on. "In these areas, on the one hand can be produced by intelligent efficiency, such as electronic information level can improve manufacturing efficiency and yield of production in the chemical industry can improve its security through intelligent manufacturing production levels, and in some relative risk of production environment, can reduce energy use, improve the level of machine operation. "

"In the future, with artificial intelligence, cloud computing and other cutting-edge technology in the use of intelligent manufacturing, intelligent manufacturing will have a brighter future." Chen Liu said.

Information "Tesla Shanghai Plant Investment 1.2 billion expansion / Honda release AI auxiliary driving new technology"

1 Expansion production: Tesla Shanghai factory invests 1.2 billion expansion

The Beijing News reported that Tesla was publicized with the establishment line optimization project in the second phase of Shanghai Super Factory (Phase I). The total amount of o optimization investment in the output is as high as 1.2 billion yuan, including 85 million yuan. The project is expected to start in December this year, completed in April next year.

Comment: Today, Shanghai Super Factory has become the most important production base of Tesla. As the leader in the global electric motor industry, Tesla has been sought after by consumers in the Chinese market, and its success is inseparable from the high-efficiency productivity brought by localization.

2 No urgent: Honda released AI auxiliary driving new technology

According to Japan, Honda has recently released a new technology that supports driving, using artificial intelligence (AI) to cooperate with the driver’s ability and state, informing the danger in advance and reminding attention.

Comment: Honda’s vision is very large, both need to be new energy, and automatically drive to build unscrupulous society, while taking into account fun, this three aspects are very powerful.

3

New beginning: Baidu radish running toll mode open

The heart of the car, recently, Beijing High-level Automatic Driving Demonstration Zone Work Office officially released the "Beijing Intelligent Network Automobile Policy Pilot Management Implementation Rules", and issued a business to Baidu and other enterprises Pilot service license. The policies are released not only that Baidu’s automatic driving travel service platform "radish is running" truly into a new new process of commercial charging, and also marks the Robotaxi operator headed by Baidu Apollo is leading China’s automatic driving from test demonstration. In the new stage of commercial pilot exploration, this is also the starting point of changing China’s future travel.

Comment: Automatic driving is no longer a unreachable high-tech, the people can get tentacles in their daily travel life, becoming a habit.

Watch pain points, AnyChat digital solutions for people to create a new era of intelligent customer service

The annual national"Double October" shopping festival gratifying to turnover came to an end. In the new round of technological and industrial change, behind the electricity supplier "double October" promotion, not only presents a feast of consumption, while digital technology is going nowhere. Among them, the AI, big data, and intelligent interaction RPA technology-based intelligent customer service and that consumers have access to the most direct experience of a service that reflects the strength and value of social application of digital technology.

According to market research firm Sullivan released "2021 China Intelligent Service Market Report ", accompanied by the development of Internet technology, big data, cloud computing, artificial intelligence, more and more businesses to invest in building customer service center. By 2020, China’s smart customer service industry market reached 3.01 billion yuan, an increase of 88.1%, 2025, intelligent customer service or market exceeded 10 billion yuan, showing rapid growth.

Based on the form of natural language processing, deep neural networks, artificial intelligence, machine learning technology, intelligent customer service presented more diverse, mainly customer-centric, the efficiency and service coverage, the customer experience of the first place, to build the whole channel, all-weather , intelligent matrix multi-service terminals.

However, according to Ai Media Consulting survey data results show that the answer to the monotony is the largest user encountered in the course of intelligent customer service"Pain points". Moreover, repeated cycles of operation, deflected the question and did not understand the needs, answer lag has become plagued users of several major problems, recognition of customer service are generally lower than artificial intelligent customer service, intelligent call "dumb" in a very acute problem.

Eco-stop audio and video solutions providerAnyChat time perceive pain points above problems, launched a highly intelligent integration of emotion recognition "Digital Man" solutions.

AnyChat digital one can achieve based on a small amount of audio and video data, digital generate rapid migration of people, the integration of voice, image and semantic AI technology, video-related inference engine cover sound synchronization, 3D modeling, synthesis face, lips synthesis, action match and many other aspects. Configure intelligent systems integration and visualization background, simple and convenient, and through multimedia panel customization features can be implemented needs to show the rich dynamic icons and panels based on business scenarios, provide auxiliary digital intelligence service. AnyChat figures who promoted the original empathy intelligent customer service, greatly enhance the company’s operational quality and efficiency.

exist"Intelligent Customer Satisfaction Survey China 2021 "that the future of intelligent customer service enterprises should actively hardcore user needs, from problem solving, all aspects of service efficiency, experience and so on, for users to create a more satisfactory all-round intelligent customer service system.

Insight | Federal learning, formation encryption, fuzzy extractor? A new generation of biological identification technology enhanced privacy protection

"Zhi Zhou Insight" is a new research brand of machinery PRO, focusing on new generation of new generation of artificial intelligence technology, surrounding artificial intelligence academic exploration and engineering technology hot research direction in-depth exploration, tracking the latest AI technology route, analyzing mature Situation, insight into potential technology iterative opportunities. "Zhou Yaojing · Trusted AI" special series focuses on building a new generation of artificial intelligence technology for the purpose of building credible AI systems, expanding specific discussion around privacy protection, interpretable, fairness and robustness increase.

Write | Machine heart Pro

This section is selected from the "Zhou Insight" report series "Available Ai" topic "Privacy Protection Enhancement New Generation Biological Recognition Technology". The core of the machine will continue to surround a new generation of AI technology to build "credible AI" to issue technical insights, survey reports, organized online sharing and technical discussions, etc. Get full verse reports and event notifications.

This report has received many experts with great professional opinions. Special acknowledgment (sorted by surname’s first letters): Harbin Institute of Technology Science and Technology, Ph.D. Han Jiqing, Dr. Lei Zhen, Dr. Lei Zhen, Zhejiang University Network Professor Renkui, Dean of Space Safety, Dr. Tang Linpeng, Chief Technology Officer of Muqi Technology, Professor, Department of Computer Science and Engineering, Shanghai Jiaotong University, Professor Zhang Junping, Computer Science and Technology, Fudan University

Insight

  • Dual-law implementation, enhance the privacy protection capacity of biometric system to reduce system security risk, abuse tracking and governance technology, biological information deducting, anonymization, etc.

  • AI Times Biological identification application broke out, biometric authentication replaces password in a large number of scenes, discloses, and the biological template cannot be changed or recovered once it is leaked. Enhanced the protection of biological templates is a key link to enhance biometric system privacy protection capabilities

  • The new generation of credible biometric systems should have irreversible, revocable, non-associated technical features. Feature transformation, biological encryption can enhance protection of biological templates.

  • Head Internet enterprise, AI technology company laboratory, research team has launched the privacy protection technology upgrade of biological identification system, such as strengthening biological template encryption technology research, using federal learning, multi-mode fusion and other computational and verification methods; Some emerging companies are also exploring a biometric technology solution that is more easy to use, higher security, and privacy privacy.

With the implementation of the data security law, the implementation of the personal information protection law, the market is upgraded to the upgrade technology, using the new generation of privacy protection to improve the need to heat up the needs of the biometric system, from the technical breakthrough, improve the safety of biometric system, and realize biometric identification The privacy capacity of the system is imminent. Accordingly, the research and development of biometric technology to construct a new generation of confident AI system capabilities is also rising.

In October 2020, China Xinyiyuan Terminal Laboratory United Telecom Terminal Industry Association, Telecom Terminal Industry Association, China Internet Association, Internet Financial Identification Alliance and Mobile APP Innovation and Personal Information Protection Laboratory joint release "Biological identification privacy protection The research report ", eight dimensions for the privacy protection of biometric system, and extended the technical topics that need to be solved, the machine’s heart is summarized as follows:

New generation biometric technology design for privacy protection

When designing a biometric identity authentication system architecture, the full process of biological data security and biometric verification accuracy is the two most important aspects that need to be considered simultaneously [6]. At the time of the technical selection of biometric applications, the recognition accuracy and ease of use of different biometric techniques also have a large difference, and the following figure shows the different types of biometric technology in terms of recognition accuracy and ease of use. Case.

The credible AI system should have the ability to protect the biological information template when using biometric identification. The ISO / IEC 30136 standard is given a method of evaluating the accuracy, confidentiality and privacy of the biological identification template, specifically indicating that in terms of security and privacy protection, IRREVERSIBILITY, unlinkability Features.

National Standard "Information Technology Safety Technology Biological Characteristics Identification Information" (Draft for Comment) also pointed out that biometric identification systems should meet confidentiality, integrity, and updateability and cancellation, and specify biometric identification information. The following requirements: irreversibility, negligibility, confidentiality. Furthermore, the available biological template protection mechanism achieves the objective features such as irreversibility, cancellation, non-correlation, and features of Performance (Performance) [9].

Increase the core fortress of the privacy capacity of biological identification system: biological template protection

Biometric identity certification is generally divided into two stages of registration and verification. The common biometric identity authentication system architecture is as follows, where t represents the biometric sample obtained when registration, Q is the query biometric sample obtained when identified, XT and XQ are template and query feature set, S represent match results [6 ].

The biometric data is scanned in the registration phase to determine a group of different biometric sets, called biometrics templates. Bioinformatics template data leaks are also the focus of personal information protection. Unlike passwords or secret key schemes, the biological information template is unlike password, once the leaks cannot be changed or recovered [8]. The following figure shows the main security vulnerability zone in the biometric system [6].

Biological template protection: technical methods such as characteristic transformation and bioconagration

Protecting biometric templates from a variety of hacker attacks is a vital issue. Protecting biometric templates Mainly include characteristic transform and biological encryption two sets of technical routes [6], including template encryption, can revoke biological identification, mixing methods, formative encryption, visual cryptography, etc. [6] The following table further summarizes the relevant technical methods.

Trusted biological identification technology upgrade: large factory and start-up enterprises have joined racing

Head Internet enterprise, AI technology company laboratory, research team has launched the privacy protection technology upgrade of biological identification system, such as strengthening biological template encryption technology research, using federal learning, multi-mode fusion and other computational and verification methods; Some emerging companies are also exploring more easy, high security, privacy biological identification programs and products, such as Miqi Technology, with non-contact finger and refer to the vein collection method, using multi-scale-based multi-scale Feature extraction and heterogeneous high performance ratio algorithm, push privacy protection enhanced biometric identification in a multi-scale image representation and cryptographic binding.

The list of academicians of the two hospitals in 2021! Smart car field, Li Keqiang, Zhang Yaqin and others

In the relevant field of smart cars, two academicians from Tsinghua ‘s engineering institute have been added.

文 靓

Academician is awarded the honorary title of the country’s most achieved scholars by the world. Elected academicians are not only a scientist’s personal honor, and the state’s achievements in the country’s achievements, highlight contributions, and is more related to their colleges and research institutions in the industry’s appeal and influence.

The selection of academicians of all countries have complex and difficult, and the title of "Academician" is also extremely high. According to the latest academic selection rules for the Chinese Academy of Sciences and the Chinese Academy of Engineering, the selection of academiciases in my country is mainly held in an odd year (once a two years).

Today, the results of receipt of academicians in the 2021 hospitals have been officially announced, and 149 people were elected.Among them, there were 65 Chinese Academy of Sciences, and 84 academicians were selected in the Chinese Academy of Engineering.

According to the "Academician of the Chinese Academy of Sciences" Chinese Academy of Sciences, the Electoral Electoral Election Method "," Chinese Academy of Sciences, Election, Election, Electoral Elections, 195 Chinese Academy of Sciences, produced 65 academicians of Chinese Academy of Sciences, and 25 Chinese Academy of Sciences academician.

They come from 11 countries, the first time, South Korea and Swiss scientists have been elected Chinese Academy of Sciences. The average age of 65 new academics is 57.4 years old, the minimum age 45, the largest age 68, 60 years old (including) 76.9%. Among them, five female scientists are elected. The structure of the academician is further optimized. This year, this year passed the special recommendation mechanism, the national defense and national security areas, and 3 people were elected.

According to the implementation Measures for the Implementation of Academy of Chinese Academy of Engineering, the Chinese Academy of Engineering’s 2021 academicians have been completed in recent days, and 84 Chinese Academy of Academy of Chinese Academy of Engineering have been selected, including 6 female scientists. Another 20 Chinese Academy of Academy of Engineering. 84 academicians of Academy of Engineering average 58 years old, the minimum age of 51 years old, the largest age 69, 60 years old (including) below 75%. A group of long-term fighting in national major projects, core technology research, and adhere to the outstanding engineering scientific and technological experts of the Northeast Industrial Base and Western Western Regions.

From the work unit of a new round of elected academicians, there are three universities in colleges and universities to be elected, namely Zhejiang University (21 Academician, 3 Academy of Academy of Engineering), Tsinghua University (Academician, 2 Academy of Sciences, Academician, 1 External Academician) and Tongji University (Academician, 2 Academy of Academy, Academician of Engineering, 21 Academician, Academician, Academician, Academician, Engineering, Academician), Shanghai Jiaotong University (21 Academician, 2 Academy of Engineering Academician, 1 foreign academicians, respectively, followed by four academicians.

Among them, Li Keqiang, from the Tsinghua University vehicle and carrier college, was elected academician (mechanical and carrier engineering department).

Previously, the Chinese Academy of Engineering and the automotive field had Sun Fengchun (Beijing University of Technology, 2017), Wu Feng (Beijing University of Technology, 2017), Xiang Changle (Beijing University of Technology, 2019).

It is worth mentioning that Zhang Yaqin, a professor of the Smart Science of Tsinghua University, and Zhang Yaqin, a Chinese Academy of Academy of Engineering, China Academy of Engineering.

Speaking of Li Keqiang, friends of the smart car ring will inevitably be unfamiliar.

As a professor of Tsinghua University Vehicle and Carrier, Li Keqiang has cultivated more than 60 postdoctoral and doctoral students, 7 of whom won the high-level talent project support in the Yangtze River scholars, Jieqing and other countries; also supported and helping students have created Suzhou Zhihua, Beijing Zhikong Automobile technology company such as Qing Technology, Qiyun Control.

In addition, Li Keqiang has many industries and academic achievements:

  • Industry achievements.It is the term "intelligent network car" and its technical Chinese program’s proposals and promoters, is the head of the national major industrialization project, served as the head of the Ministry of Industry and Information Technology, the intelligent network of the experts, the head of the team, written Important reports such as "Intelligent Network Auto Technology Road Map" issued by the National Ministerial Committee.
  • Academic achievements.The team leaded to the second prize of the national technology inventions, 1 national scientific and technological progress, 1 special prize of China’s automobile industry science and technology progress, authorized more than 60 patents at home and abroad, published SCI / EI papers 200 The remaining articles are published in 3.

If you start from the undergraduate phase, Li Keqiang has cultomized more than 40 years in the automotive field.

In 1980, the Qinghua University Automotive Engineering Department was formally established, and the research on automatic driving technology has begun to deliver a large number of talents in the automotive industry. At this time, the 17-year-old Li Keqiang took the first volunteers from Sichuan Province.

As the first undergraduate student, Li Keqiang has exposed to a more solid mathematics, mechanics basic education, has a more profound understanding and understanding of the development of automotive engineering technology and automotive industries, but also launches smart auto research. Base.

In 1985, Li Keqiang graduated from graduation to Chongqing University, completed the study of the master’s phase. During the Master, its relevant scientific research results as the second completion of the relevant scientific research reported by CCTV news programs in 1988.

In 1995, Li Keqiang graduated from Dr. Chongqing University. Based on the two-year work practices in the Body Technology Center of Japan 50 (1992-1994), his doctoral thesis "Automobile Inner Noise Characteristics" was praised by Japanese peers as "the highest level in Japan’s automobile technology", Japanese car technology authority is collected.

Since 1997, Li Keqiang has successively visited Scholars in Aachen University of Traffic Safety and Environment, Germany, Japan, Japan, Japan, University of Technology, Japan, and Japan, started to expose intelligent automobile research, including ACC, including ACC. The relevant results are introduced by the "Japanese Automatic Technology" yearbook.

It is also because of the above series of drilling and practice, Li Keqiang has a deep qualified qualification for the theoretical research, technical research and product development of automobile smart driving system.

In 2000, with the recommendation and help of friends, Li Keqiang applied to obtain the qualification of Tsinghua University’s "Hundred People’s Plan Speed ??Temperature", and after graduation, he returned to Tsinghua University and began the training of talents in the automotive field and intelligent automobile science and technology.

In the later 20 years, Li Keqiang and the team continued to undertake national projects (863, 973, key scientific and technological plans, national natural funds, etc.) and to carry out international cooperation (with Daimler, Toyota, General, Intel, Stanford, Tokyo University) Other internationally renowned enterprises and universities have established a "structural shared, control coordinated" car intelligent safety and energy-saving technology system, and has achieved many results.

Zhang Yinqin is a world-class scientist in the field of digital video and artificial intelligence. It is now serving the Professor of Intelligent Science, Tsinghua University, Double Professor of Vehicle and Cargo School, Dean of Intelligent Industry Research Institute.

For friends in the smart vehicle, he may have not so high, but its resume is also a legendary color:

  • Ben Shuo graduated from China University of Science and Technology, 23 years old (US) George Washington University Ph.D., 31 years old was awarded the title of IEEE Fellow, which is the most popular scientist in history.
  • He is also an academician of American Arts and Academy of Sciences, an academician of the Australian National Academy of Engineering, academician of the International Eurasia Academy of Sciences.
  • It has more than 60 international patents, more than 500 academic papers and 11 monographs, and has been evaluated many highly entered primers in the world, the world’s top 100 computer scientists.

At the end of 1998, Zhang Yaqin returned to the country and Li Kai to create a Microsoft China Research Institute, and successfully upgraded to Microsoft Asia Research Institute, Ren Microsoft Global Vice President.

Later, Baidu, Zhang Yaqin fully responsible for artificial intelligence and technical system, including Apollo automatic driving, intelligent cloud, promoting the establishment of quantum computing research institute, release Baidu first cloud full-function AI chip "Kunlun", etc.

Today, Zhang Yaqin has founded the Tsinghua University Intelligent Industrial Research Institute (AIR) in one hand and actively promoted production.

In May of this year, Zhang Yaqin led the Intelligent Industrial Research Institute to jointly Baidu Apollo released Baidu’s latest technology route – Apollo AIR program in the field of road collaboration. This is currently the only technology that enables open road L4 automatic driving closed loop only through road side perception. .

Japanese smart shopping cart let supermarket bid farewell information

In a new generation of smart shopping carts in a new generation of supermarkets that achieve efficient operations in digital technology.In this regard, the leading Japanese discount store company Trial Holding introduced about 5,000 smart shopping carts.This shopping cart can save checkout through automatic payment functions, and improve the functionality of the product through data analysis.Amazon,YongwangIt has also begun to adopt smart shopping carts, and competition has become more and more intense.

Trial Holding’s Trial Company opened in the "Super Center Triala" in Fukuoka Prefecture City, opened in October. Here, the clerk is introducing approximately 200 ways of use of smart shopping carts. A 40-year-oldBe satisfiedSay: "Really accident, so simple".

Customers can use the shopping cart as long as you brush a membership card (available for points, and do the recharge card). A liquid crystal screen and a scanner next to the armrests, and a scanning product will sound. There will be a list of goods and total amounts on the screen, and the coupons and goods sent according to the purchase record.Recommendation letterinterest.

You can automatically check out, you can stay in the cashier. Although there is a clerk to conduct a simple examination, but the checkout time is less than half of ordinary artificial cashiers. The humanity and time required for the cashier’s work is more than two0%.

Trial positioned smart shopping carts as an important part of store operations. In 2018, the 51 stores in Jiuzhou, Central, and Nakanda, in Japan, have introduced about 5,000 smart shopping carts. Customers can also choose an ordinary shopping cart. The average utilization rate of smart shopping carts exceeded 40%, and more than half of the 50 years old. Customers who use smart shopping carts have increased by 14%.

The Trial Group’s president of Retail Ai, which is responsible for technology development, said, "Improve shopping experience" by eliminating anxiety and recommended goods at the time of checking. " It is planned to promote smart shopping carts to approximately 60 stores in 2021, an increase of 6,500.

Smart shopping carts are getting more and more popular around the world. Amazon introduced the smart shopping cart "Dash Cart" for identifying the goods in the United States for 2020. When the customer walks through the channel, you can check up the credit card in advance.

Small store "Amazon Go" captures customers and goods through the sensors and cameras in the store, and achieves non-acceptance space terms. Although Amazon does not disclose relevant data, it is more than 100 million yen according to estimation of the introduction of the camera. The more large shops, the more difficult to introduce the sensors and cameras directly, so the smart shopping cart will debut.

Yongwang Retail began in some stores in some stores. App "Regigo", customers can rent smartphones, put them on the shopping cart to read the barcodes, and obtain approximately two-standing customers.

The advantage of leading Trial Holdings on the introduction time and scale is recommended. Trial Holdings will be based on approximately 27 billion "ID-POS data", and it is improvingSolemnRecommended algorithm.

It turned out to be recommended from hundreds of items set in advance, and now it is fully automated through artificial intelligence (AI), it can be recommended from thousands of items. Technical basis is a collaborative filtering algorithm, which is recommended to have a similar preferred goods.

Trial Holdings is a characterful retail company, and the ancestral industry is system development. Including China’s legal people, there are more than 500 technicians. The company quickly improves business model through independent design software and hardware. A new generation store will also set hundreds of cameras and electronic billboards that detect out-of-stock and activity routes, and obtain data with the shopping cart.

The Yongtian, which has an entrepreneurial experience in Silicon Valley, "" It is also improving technology to improve technology, "also attaches importance to external cooperation. The cooperation platform is a general community’s legal person "Retail AI Research Association", Trial has also joined this organization. Members include approximately 250 companies such as manufacturers and circulation enterprises. Verification experiments are provided by Trial, and data and technology are also shared with competitors.

The research will verify the product recommendation method of "natural language processing" technology used in Fukuoka in the store in Fukuoka City. Analyze the propaganda points introduced by each commodity, and classified according to the language.

At first glance, sesame oil and sugar beer have "alcohol thickness · soft · natural" these same keywords, so it is determined to be a product similar to values. When the customer scans sesame oil, the shopping cart will display "I recommend you to enjoy high quality, mellow taste" and recommend beer, and you can also discover the goods that are not easy to be recommended before.

Trial was opened in the palace of Miyu City became an experimental field. Trial recovered multiple abandoned schools in the city, built an Internet of Things (IoT) and AI development base, which will verify the technology as soon as possible.

Enough to detect the new shopping cart for customers forget to scan the product to charge 20 simultaneously

Trial also provides smart shopping carts outside. 2020 in China (one of Japan’s region, refers to Retail Partners in the Kuang Mountain, Hiroshima, Yamaguchi, Island, and Birds) and the Kyushu area. The supermarket in Kyushu introduced Trial’s shopping cart. . Trial will also develop a new smart shopping cart that can detect customers forgetting the product scan, but also charging 20 shopping carts. Will introduce in Trial and other enterprises in the store, and will be exported to China after 2022.

Under the promotion of non-contact demand in the new crown epidemic, emerging companies such as Caper will also develop smart shopping carts. The development and introduction of smart shopping carts will be more intense.

This article comes fromWeChatthe public "Niki Chinese" (ID: rijingzhongwenwang)Author: Nijing Chinese network, 36 经 authorization release.

Tencent Cloud carries with Ruisong Technology, jointly build China’s leading SAAS industrial software

On November 25th, Tencent Cloud and Ruisong Technology reached a strategic cooperation. The two sides will integrate Tencent Cloud in technology, product, ecology, etc., and the advanced experience of Ruisong Technology in industrial software, together to help China’s manufacturing digital, networking, Intelligent level.

Rising Technology is a business covering robot intelligence technology, high-end intelligent equipment field R & D, design, manufacturing, application and sales services, providing customers with high-tech enterprises for flexible automation, intelligent system solutions. As China’s leading cloud computing vendor, Tencent is based on Tencent’s more than 20 years of precipitation technology advantages, providing cloud computing, big data, artificial intelligence, security, etc., to help enterprise digital transformation and upgrading for enterprises and developers.

According to the agreement, the partners will focus on the digital upgrade of Ruisong Technology, the development of domestic industrial software, the industry-grade AI solution, the robotic industry, China Industrial Internet Capacity promotion.

First of all, for the current rapid development of Ruisong Technology, both parties will give full play to Tencent Cloud Internet Technology advantages, launched a full-scale cooperation in the fields of desktop cloud, enterprise office, enterprise SaaS applications, accelerate the digital development process of Ruisong Science and Technology, and further enhance its enterprises. Operation efficiency, reduce the cost of operation.

Second, Tencent Cloud will play the advantages of platform, operation, safety, and end users, combined with Ruisong Technology in the advanced experience of industrial software, and is committed to the study of industrial software pool technology, jointly build domestic SaaS. Industrial software and further help the development of domestic industrial software.

The two sides will also fully combine Tencent Cloud Ai, large data capabilities and Ruisong Technology in the industry experience and deep moving advantages in robots, automobiles, motorcycles, etc., the equipment, process capabilities of Rui Song’s multi-year accumulation, and process capabilities are carried out in the form of data trip and micro service. Precipitation, jointly build an industry-grade AI solution and provide assistance to the industry’s customer’s digital development.

In addition, relying on the technical advantages of Tencent Wemake National Double-cross-Industrial Internet Platform, the two sides will jointly build industrial Internet platforms with intelligent robots – Ruisong Industrial Internet Platform, providing industry-grade industrial Internet solutions for customers in China. At the same time, the demand scenario on Tencent’s large-scale platform will fully match each other with each other, and continue to work together to win industry solutions.

At present, China has attached great importance to industrial software autonomy. The "Industrial Software" key special 2021 project declaration guide recommended in February this year, it is estimated that by 2025, industrial software has significant development capacity, promoting manufacturing Industrial ecological innovation and technical system, production model, industrial form and value chain.

As the global key partner of Siemens Industrial Software, future Rui Song Technology will jointly launch technical cooperation with Tencent and Siemens Industrial software to jointly develop industry software and intelligent manufacturing technology in China.