For the traditional camera, the video stream can be AI output, uploaded to the cloud platform, and finally remotely monitored. For example, the monitoring video of the activity room in the hospital is upgraded from the original local viewing to the remote viewing, the counting of the number of activity rooms and the realization of abnormal warning.
Video consultation
Even the intelligent 4K camera can wirelessly access the cloud, and no matter how far away the patient is from the medical staff, it can conduct real-time video consultation through the TV, cloud platform and client.
AI function
It has AI functions such as face recognition, headcount, intrusion detection, etc., and can change the AI model on the cloud platform. For example, automatic face recognition, abnormal alarm, and statistics of the number of patients and medical staff in the rehabilitation room through the associated database.
Connect the smart ward solution to realize the serial and remote management of wards, nursing stations and mobile medical equipment, so that patients’ needs can be quickly communicated to the medical care end and medical services can be improved.
The core of a smart hospital is smart people, who invent and use smart machines and make them work for smart people. Looking to the future, today’s medical practitioners will become AI scene users, and the core task is to find a scene suitable for AI to maximize its value, so that it can better serve medical health.

Remember that time Google showed off its ability of artificial intelligence by demonstrating the dialogue with Pluto and paper airplane? That’s driven by LaMDA, one of Google’s latest generation conversational artificial intelligence models. Now, Google is using LaMDA to build Wordcraft, a prototype writing tool that can help creative writers create new stories.

It turned out to be all kinds of surreal awkwardness, one of which described that eggs have leather texture, but I chose the option that they are the size of grapefruit and covered with fluff. (Eggs covered with feathers do not exist)

As you can see from the final product, the writing level of artificial intelligence can only be said to be quite basic, and there are many contradictions.

Wordcraft is obviously still in the experimental stage, but this prototype is very interesting to use. Even people who mainly want to see how ridiculous results can be obtained with a prompt deserve attention.

Report from Zhiyuan Xin

Editor: David

[Introduction to Zhiyuan Xin] It’s getting cold, so it’s better to read more good AI books! The latest AI book list of Institute of Automation, China Academy of Sciences, recommended by many experts!

The latest bullet in the recommendation list series of artificial intelligence of Institute of Automation, Chinese Academy of Sciences has arrived!

This book list covers many fields, such as medical robots and swarm intelligence. From classic basic works to interpretation of application scenarios, it takes you to explore the frontier of intelligence.

As the saying goes, it’s easy to read when it’s cool. In the cool autumn wind, abandon the hustle and bustle, read a good book and start the journey of AI knowledge!

Presenters of this issue: Liu Hongbin, Pu Zhiqiang, Zhao Dongbin and Wang Shuangyi.

01 Modern Robotics

Author: Kevin M. Lynch, Frank C. Park

Recommended words:

A good introductory robotics book, which covers basic knowledge of robot kinematics, dynamics, trajectory planning and force control algorithm. At the same time, the mathematical formula is deduced with the help of detailed picture examples, which is easy to read and understand. Suitable for beginners, and can continue to learn and consolidate in the follow-up scientific research practice.

Recommended by: Liu Hongbin, a researcher.

02 Pattern Recognition and Machine Learning

Author: Christopher M. Bishop

Recommended words:

Learning the classical machine learning and pattern recognition methods is the basis of studying advanced artificial intelligence algorithms. This classic book on the principles of pattern recognition and machine learning explains the statistical essence of classical models from the perspective of mathematical statistics, and can be used as the foundation and tool book of machine learning theory.

Recommended by: Liu Hongbin, a researcher.

03 Swarm Intelligence: From Nature to Artificial Systems

Authors: Eric Bonabeau, Marco Dorigo, Guy Theraulaz

Recommended words:

Written by three pioneers in the field of ant colony optimization algorithm and social biological behavior simulation.

The concept of "swarm intelligence" is very extensive. This book represents the current popular perspective of bottom-up bio-heuristic swarm intelligence. It introduces the behavior characteristics and algorithm models of various social insects in detail, which is helpful to master the basic concepts of swarm intelligence and provide detailed reference for algorithm simulation.

Recommended by: Researcher Pu Zhiqiang

04 Nonlinear Systems（3rd Edition）

By Hassan K. Khalil

Recommended words:

This paper introduces in detail the basic mathematical tools related to the analysis and synthesis of nonlinear systems, including system stability analysis, frequency domain analysis, singular perturbation, etc., especially gives the stability conclusions of various systems under different conditions, such as linear time-invariant/time-varying systems, nonlinear cascade systems, disturbance systems, etc., which is a very practical reference book in the field of control and decision-making.

Recommended by: Researcher Pu Zhiqiang

05 Complex Systems and Complex Networks

Authors: He Daren, Liu Zonghua, Wang Binghong,

Recommended words:

Hawking once said, "The 21st century is the century of complex science. This book systematically introduces the basic concepts related to complex systems, especially gives many interesting cases from the perspective of physics, which is very suitable for beginners to learn. At the same time, "complex network" has a natural connection with distributed optimization, multi-agent learning, swarm intelligence and other fields, which can provide interdisciplinary perspectives for research in related fields.

Recommended by: Researcher Pu Zhiqiang

06 World Outlook

By Richard Dewit, translated by Sun Tian.

Recommended words:

This book elaborates a series of basic propositions in the history of science and philosophy of science, including reasoning, truth, evidence, empirical facts and philosophical/conceptual facts, etc., and introduces the main development of the history of science in detail from Aristotle’s world outlook and Newton’s world outlook to relativity and quantum theory.

This book provides a very "grand" and "basic" perspective, and provides "back to basics" methodological guidance for students on how to choose research topics and how to prove/falsify. There are many translated versions of this book, both of which are good by Machinery Industry Press and Taiwan Province Summer Press.

Recommended by: Researcher Pu Zhiqiang

07 Reinforcement Learning: An Introduction

Authors: Richard S. Sutton, Andrew G. Barto

Recommended words:

Intensive study of the Bible, the first edition of which started in 1998, was updated to the second edition in 2020.

This book systematically tells about reinforcement learning, look-up table method (dobby slot machine, finite Markov decision process, dynamic programming, Monte Carlo method, time difference, N-step bootstrapping, planning and learning), function approximation method (same strategy prediction and control, different strategies, qualification trace, strategy gradient), and frontier problems (the frontier crossing psychology and neuroscience, typical application results of AlphaGo, and some frontier explorations).

The electronic version of this book can be downloaded online, and the webpage also provides lecture courseware, codes related to homework for reference, and so on. It is suggested to read and study repeatedly, and combine it with the programming and debugging of homework to deepen understanding.

Web page link:

Learn with David Silver’s out-of-print video of intensive study course in University College London, and the effect will be better.

Course video:

Recommended by: Researcher Zhao Dongbin

08 Medical Robot: A New Revolution in the Future of Industry

Authors: Wang Yu, Fan Yubo,

Recommended words:

With the rapid development of medical robot, it has gradually become the new power of medical business model. This book, as an introductory reading for industry segments, introduces the typical application scenarios of medical robots, combs the advanced enterprises at home and abroad and expounds the industry trends, so that readers can know the general situation and the whole picture of the medical robot industry in a short time.

Recommended by: Researcher Wang Shuangyi

09 AI+Medical Health: Application and Future of Intelligent Medical Health

Min Dong (editor-in-chief)

Wang Yu, Xu Yan and Fang Lin (ed.)

Recommended words:

Artificial intelligence has become an important direction for the development, transformation and upgrading of medical industry. This book introduces the main application scenarios of artificial intelligence in medical and health fields, analyzes the technical system, industrial ecology, business model, laws and ethics of AI+ medical and health, and expounds the specific application of artificial intelligence from the business aspects of image recognition, clinical decision-making, gene sequencing, health management, medical robots, biomedicine, etc.

Recommended by: Researcher Wang Shuangyi

Thanks to the teachers who recommended the wonderful book list, and welcome readers to leave messages to share more good books and share their reading experience!

Morning News (Peninsula Morning News, 39-degree video reporter Su Lin) The crab-pincer-like manipulator prowled among the sand and rocks on the seabed, suddenly reaching out to the scallop in front of the "face", opening the "pincers" to clamp it firmly and put the scallop in the cabin … In 2022, the national underwater robot contest (Dalian) was in full swing on the Golden Coast of Jinshitan, from universities, scientific research institutions and top industries all over the country.

OurEDA No.2 Team of Dalian University of Technology, which belongs to Dalian Key Laboratory of Underwater Robots, brought an agile robot with full digital structure to participate in the competition. Liu Yu ‘ang, a junior majoring in microelectronics at Dalian University of Technology, told reporters that this fourth-generation medium-sized agile robot participated in the autonomous grasping competition in this competition. It is an improved version of the eight-axis robot, and its action is more sensitive. "We have changed the internal control structure, equipped with a high-power edge calculation module, especially for image detection. It used to be an analog camera, but now it is an all-digital structure. The newly designed autonomous crawling algorithm can complete the operation of artificial intelligence. "

Liu Yu ‘ang introduced that, considering that natural factors such as ocean currents are often encountered in the sea, the team introduced the function of self-balance in the process of improving the robot, which can keep balance in front, back, left and right, up and down directions. "This robot can also have a better orientation and depth. For example, suspend at a distance of one or two meters from the seabed, observe the situation of the seabed, and grab the sea treasures within a certain range. " In addition, the fourth generation medium-sized agile robot has also designed a number of data interfaces, and external accessories such as sonar and USBL can be added as needed.

"The stone seams and reef walls on the real seabed are our’ main battlefield’." Lin Peng, the leader of Haiying No.1 Team from Dalian Maritime University, told the reporter that the underwater robot Haiying No.1 is a robot independently developed and designed by them to catch seafood such as scallops, sea cucumbers and sea urchins. This robot is waterproof to 200 meters, driven by 6 propellers, with high degree of freedom and flexible control. It has a 30-fold mechanical arm, and can be grasped at 160 angles around the fan. The relatively small "hand shape" is specially designed by the team for real seabed crevices. In the competition of man-machine cooperation, "Haiying No.1" caught 25 sea treasures per unit time.

According to reports, another feature of "Haiying No.1" is that it uses shore-based battery power supply. Robots don’t need their own batteries, and at the same time, they can realize 24-hour nonstop operation all day. Besides underwater fishing, this robot can also be used in underwater search and rescue, underwater reconnaissance, underwater scientific research and archaeology and other fields.

Yong Li Chaotou Team from Zhejiang University came to Dalian for the first time to participate in the National Underwater robot contest. This is also the first time that the underwater robot independently developed by this team has gone out of the laboratory pool to "test the water" in the real sea area. Huang Puwen, a member of the team and a senior majoring in marine engineering and technology in Zhejiang University, said that everyone cherishes this rare exercise opportunity. The robot in this competition is a multifunctional modular ROV designed and developed by the team for more than one year. It adopts an open frame structure with eight propellers, and its small size and high-efficiency propellers make it have strong flexibility and endurance. This robot can achieve a certain degree of suspension in water, and the diving design index can reach 10 meters. "It has been tested in the swimming pool of the school laboratory before. Although the effect of grabbing is OK, it can’t simulate the wind and waves in the real sea area after all. This is the first time I have come to the real sea area. After discovering the problem, we can improve it more pertinently. "

Artificial intelligence technology has been widely used in various fields of production and life in China. While we are using intelligent technology, we are beginning to gradually realize the value and significance of intelligent trademarks, but at the same time, there are new risks that need the attention of enterprises. Therefore, how to avoid risks in trademark registration in time in the era of artificial intelligence has become a problem that everyone needs to pay attention to.

What impact does artificial intelligence have on trademark registration applications? At present, artificial intelligence technology has been applied in the fields of trademark rejection review and trademark objection review. However, due to the diversity of trademark application types, there are still many restrictions on the practical application of artificial intelligence in trademark application. With a large number of application types joining in artificial intelligence applications, and gradually covering the fields of finance, computer programs, advertising, etc., it will bring more new problems and challenges to trademarks, which will affect the examination results of trademark registration by Trademark Office.

At the same time, artificial intelligence also has certain risks to the trademark registration examination procedure. Artificial intelligence is a computer-based processing program, which processes, identifies and infers data through algorithms, and completes related actions and obtains corresponding results through certain algorithms. However, in the process of examination, the examination period of artificial intelligence trademark application is longer, because it takes a lot of time and energy in data processing, identification and reasoning in the process of trademark application. Secondly, the trademark application procedure of artificial intelligence includes preliminary examination announcement stage, registration announcement stage, etc., and different results may appear in each link of different stages.

In addition, the rejection rate of artificial intelligence trademarks is high. With the popularization of technology, the number of applications for artificial intelligence has exploded. Based on the existing data, it can be noted that except for a few categories such as computers and mobile phones, the rest are the results of the cancellation of registration after the trademark application has been revoked or declared invalid, especially the computer category, which accounts for almost all trademark applications.

So, faced with these risks and influences, what should we do to register smart trademarks in the era of artificial intelligence? First of all, enterprises have already had a certain degree of understanding of artificial intelligence technology, so on this basis, they have a certain awareness of the risks that may arise in the enterprises mentioned above, and can use trademark artificial intelligence to protect their products and services. At the same time, the characters, graphics, letters, numbers, three-dimensional signs, color combinations and sounds in smart trademarks are carefully searched and analyzed. Even if you apply for a registered trademark, you can avoid risks and prevent others from being registered first.

IBM released a demonstration project in cooperation with the United States Patent and Trademark Office (USPTO) to test the artificial intelligence (AI)-driven intellectual property (IP) analysis tool, IBMIP Advisor(IP Consultant) demonstration system. This system combines the dialogue AI technology of IBM Watson Assistant and the content insight mining and navigation solution of IBM Watson Discovery. The system aims to help users discover and analyze relevant patent data more effectively, and to gain more time for strategic and high-value tasks.

Before applying for a patent, you need to know the relevant public information, such as currently held and similar patents and published patent applications, which are called prior art. When an inventor has an idea for a new product, the research around the existing technology can help you understand the situation in the field of the invention, and evaluate not only the existing technology, but also the competitors and innovation opportunities in this field.

However, with the increasing number of patent applications and patent data, it may be difficult and time-consuming to find relevant and accurate information and analyze existing technologies-especially for new inventors and users unfamiliar with patent law. IBM’s goal is to help solve this challenge through IBM IP Advisor and promote more people to participate in the innovation process.

By using IBM Watson Discovery technology to support the natural language processing of queries, the demo system can help users locate relevant information by using their own descriptions without using specific terms and complicated methods. Using the dialogue AI technology of IBM Watson Assistant as a guide, users can ask questions to embedded virtual agents to further inform and optimize their patent analysis.

The IBM Advisor and Watson demo system use a subset of publicly available U.S. patent data, and can be publicly tested and fed back in USPTO’s open data portal. The test ended on November 30th this year.

SteveLaFleche, general manager of IBM’s public and federal markets in the United States, said, "The research and analysis of existing technologies is the foundation of a successful product or service release, but the growth of existing technologies, coupled with the need for proper keywords and correct patent classification, may be an obstacle for ordinary inventors to enter." "We are not only deploying smarter technologies, but also building a better and more accessible intellectual property system."

On the evening of November 4th, the 5th China International Import Expo opened in Shanghai. As a multinational company exhibiting for five consecutive years, BMW made its debut this year with pure electric products, including: innovative BMW iX, innovative BMW i4, and innovative BMW i7, the world’s first pure electric luxury flagship sedan, which demonstrated BMW’s determination and achievements in accelerating its electric transformation. The exhibition area of BMW iFACTORY is also a highlight of this year’s BMW booth. As the future-oriented production strategy of BMW Group, BMW iFACTORY sets a new benchmark for automobile production from three aspects: "lean, green and digital". At present, BMW iFACTORY has landed in Shenyang production base, and BMW will continue to help upgrade China’s manufacturing industry and promote the development of automobile industry.

Chairman of BMW Group Ziptzer

As a member of the delegation of German enterprises, the chairman of BMW Group Chipzer, who accompanied German Chancellor Scholcz to China, said: "China International Import Expo(CIIE) shows China’s attitude of promoting high-level opening to the outside world and plays an important role in promoting economic globalization and trade liberalization. This year coincides with the 50th anniversary of the establishment of diplomatic relations between China and Germany. BMW Group is proud to contribute to the successful cooperation between the two countries. Innovation and trade are the ties of economic development. China and Germany have great potential in strengthening bilateral relations and promoting pragmatic cooperation. I believe this partnership will be further consolidated, developed and deepened. We look forward to more cooperation opportunities in the future. "

Accelerate the transformation of electrification

Build more "green" BMW electric cars

Electrification has become one of the mainstream trends in the development of automobile industry. In recent years, BMW has continued to accelerate the transformation of electrification, constantly bringing attractive new products to customers. This year, there are five pure electric vehicles in China market: innovative BMW iX, innovative BMW i4, innovative BMW iX3, new BMW i3 and innovative BMW i7. In the first nine months of this year, BMW Group’s sales of pure electric vehicles in China increased by 65% year-on-year, maintaining a strong momentum.

Next, BMW will further strengthen the offensive of electric products. 2025 will be an important node of BMW Group’s electrification strategy, when it will usher in a "new generation" product array. The "new generation" models will have completely redesigned IT and software architecture, a new generation of high-performance electric drive systems and batteries, and a new concept of sustainability throughout the whole vehicle life cycle, especially giving priority to the use of recycled materials and advocating circular economy. By the end of 2025, BMW Group plans to deliver 2 million pure electric vehicles worldwide. It is estimated that by 2030, at least 50% of the Group’s global sales will come from pure electric vehicles. With the development of electric transformation, BMW adheres to the concept of circular carbon reduction and will bring more "green" electric vehicles to consumers.

BMW is willing to take "industrial meta-universe"

Support the high-quality development of China manufacturing industry.

The transformation of production network in the electric age is equally important. In the first half of this year, BMW Group promoted the future-oriented BMW iFACTORY production strategy in Europe and China simultaneously. On June 23rd, the large-scale upgrading project of BMW Brilliance’s production base (referred to as Rida Factory) was officially opened. This is the first BMW iFACTORY completed and put into production by BMW Group in the world. The total investment of this project is RMB 15 billion, which is the largest single investment ever made by BMW in China market, and once again fulfills the promise of BMW Group that "its home is in China".

BMW iFACTORY is the overall plan of BMW Group for future automobile production. It determines the future direction of the group’s factory and production technology, and sets a new benchmark for automobile production from three aspects: "lean, green and digital". Rida factory is the best example of iFACTORY’s production strategy. It is guided by electric driving behavior, widely applies data science, artificial intelligence and virtualization technology in production, and emphasizes the sustainable manufacturing of automobiles.

Rida Factory is the first factory of BMW Group to plan and simulate completely in virtual environment from the beginning of design. From factory planning, architectural design, production line layout to equipment debugging, digital twin models were created and simulated on the powerful Epic Games unreal engine 3D creation platform, and a real "industrial meta-universe" factory was built. In addition, the factory is "data-driven" and connects every product, every process and every employee with the Industrial Internet of Things (IIoT), thus realizing high-quality and high-efficiency digital production. Artificial intelligence, data analysis and algorithms are widely used, which transform decision-making from "experience-driven" to "data-driven". At present, BMW Shenyang production base has about 100 kinds of artificial intelligence applications.

It is worth mentioning that "BMW Start-up Garage", an innovation incubator of BMW Group, once again participated in China International Import Expo(CIIE), advocating the opening and cooperation in the field of innovation. In the "Innovation Incubation Zone", this year, the booth area of the automobile sector in charge of BMW’s start-up garage has expanded to 200 square meters, with 17 start-ups from Germany, the United States, Switzerland, Israel, Malaysia and Hong Kong, China bringing wonderful displays. The technology application fields cover autonomous driving, electric travel, future computing and intelligent manufacturing.

"BMW Start-up Garage" was established by BMW Group in 2015. In China, "BMW Start-up Garage" provides China start-up companies with the top development platform and first-class global resources in the automotive industry through systematic selection and incubation, and promotes the commercial application of innovative technologies.

Group BMW Greater China

President and CEO Gao Le

Gao Le, President and CEO of BMW Greater China, participated in the sub-forum of "Opening and Governance of Digital Economy" of this China International Import Expo(CIIE) Hongqiao International Economic Forum by video. He said: "Digitalization has become a new wrestling point in the automotive industry. BMW is accelerating the multi-dimensional digital transformation and upgrading of product, production and customer experience, and actively carrying out cross-border cooperation. We continue to expand the digital layout, and increase the investment in digital business, digital products in cars and business operation IT of Lingyue, aiming to better meet the digital needs of consumers in China and promote the digital innovation of China automobile industry. "

Everyone’s imaginary artificial intelligence

Be omnipotent and on call.

However, goose fact always makes people despair.

Some intelligence. Don’t be too arrogant, huh

I have to say that some smart products

It’s a bit of a talent to make people die.

Feel the juice shallowly.

It really makes me laugh crazy.

Siri is the real warrior.

▼

Haha, I can’t laugh anymore.

▼

Love knows the effects of some programs.

▼

Don’t record when it’s time.

When you don’t record it, the thief recorded it clearly.

▼

It’s not so sensitive at ordinary times

▼

Study in another school.

▼

You will be the laughing stock of the whole class in the future.

▼

Finger lock shark man

▼

I will never say I love you easily again.

▼

He’s a vicious man.

▼

I don’t know what you’re talking about

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Maybe there will be a love.

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(via@ human society death scene)

Help! I’m going to cry!

We never expected it.

Artificial intelligence makes human beings die so socially.

Once upon a time, there was a mountain. There was a temple in the mountain.