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Shenzhen University Initiates： Micro-specialty of ＂Virtual Digital Man＂

Development of 5G, AI, VR and other technologies

The "Virtual Digital Man" industry is booming.

What? Virtual digital people?

I’ve heard of virtual numbers, I’ve heard of people,

Why can’t you understand this when you combine it?

Don’t worry!

This is not a word mashup, but the first micro-specialty in Shenzhen University.

-"Virtual Digital Man"

"Virtual Digital Man"

"Virtual digital human" is a visible, interactive and adjustable virtual human form that digitizes the human body structure and presents it on the terminal screen through computer technology. As a hot field at present, it is the intersection of computer, digital media, marketing and other disciplines, and it is also the new direction of head Internet companies such as Tencent, Baidu and Iflytek.

From a technical point of view, virtual digital people can be divided into two categories: human-driven and intelligent-driven. Reality-driven is a relatively mature field at present, represented by Tianyi Luo, Liu Yexi, Xing Pupil and AYAYI in the industry. At present, the related concepts of "Metauniverse" form a clustering effect, and virtual digital human is one of the core industrial links of Metauniverse. With the lowering of the threshold and the great richness of application scenarios, it is estimated that by 2025, the virtual digital human industry will reach 100 billion.

In March, 2021, the state incorporated the development of virtual digital technology into the 14th Five-Year Plan for National Economic and Social Development of People’s Republic of China (PRC) and the Outline of Long-term Goals in 2035. Realizing virtual digital technology innovation has become the only way for China to realize industrial innovation and technological power in the future. In this context, Shenzhen University grasped the reality and focused on the future, and took the lead in creating a "virtual digital person" micro-specialty.

Based on the school-enterprise cooperation between the School of Communication of Shenzhen University and Tencent Technology (Shenzhen) Co., Ltd., the micro-specialty of "Virtual Digital Man" aims to meet the audio-visual content needs of the meta-universe and artificial intelligence, and cultivate the production methods and principles of virtual digital man. Master the planning, creation and communication skills of virtual IP; Know some artificial intelligence, algorithms and knowledge mapping principles, and be able to integrate code language with images; Establish professional innovative talents with professional understanding and research ability in the meta-universe industry, so as to get through the "last mile" of professional education and professional needs.

Micro-courses will adopt the training mode of "course cooperation+project cooperation +“IP co-creation", and 40 students will be recruited for computer, media art, news communication and other majors every academic year, and eight courses including Digital Man Making, Metauniverse and Media Philosophy, Introduction to Artificial Intelligence and Virtual IP Operation will be completed during the training period.

Laboratory scene

It is reported that half of the course content of the micro-major will be taught by the CDD team of Tencent Content Ecology Department in person, and students will have the opportunity to enter the actual combat of the enterprise in the name of project internship. In the teaching process, we also arranged visits and exchanges to broaden students’ horizons, hoping to transport innovative and creative talents that meet the needs of the intelligent audio-visual industry.

Wang Jianlei, the head of the micro-specialty of "virtual digital people" and an associate professor at the School of Communication, Shenzhen University, said that "virtual digital people" is a very cutting-edge professional direction, and Internet technology companies are groping for stones and finding ways to seize the new blue ocean of the market. In the education field, China Communication University, Nanjing University and South China University of Technology have all started to offer relevant virtual production courses consciously.

The cooperation between Shenzhen University and Tencent Technology Co., Ltd. has inherent advantages. If we can take the lead in setting up a micro-specialty based on this, it will be the first virtual digital professional in China. With distinctive features and high focus, it will form a good professional recognition. The adoption of micro-professional training can deliver the shortage of talents to the market in the shortest time, which will certainly benefit all parties in Industry-University-Research.

ShenZhen University

Shendawei major

In order to speed up the improvement of the trinity talent training system of "general education, professional training and characteristic development" in Shenzhen University, Shenzhen University will build a interdisciplinary and collaborative education "micro-specialty" to adapt to new technologies, new economies and new formats from 2019, expand students’ interdisciplinary horizons and knowledge reserves, and open up the "last mile" of professional education and career needs. Micro-specialty builds innovative talent training mode, actively adapts to the demand of social development for innovative compound talent training, and strengthens the close connection between talent training and industrial demand.

At present, Shenzhen University has promoted 40 micro-professional projects.

Artificial intelligence replaces manual labor, uses machine learning to carry out scientific research and match the best alloy!

A large group of researchers found that machine learning can be used to help metallurgists find the best metal mixture to make the required alloys. In this way, they found an alloy with a thermal coefficient lower than that currently recorded.

The research was carried out by scientists from Max Planck Institute for Iron Research, who cooperated with colleagues from darmstadt University of Technology, Delft University of Technology and Royal Institute of Technology.

For thousands of years, people have been mixing metals according to their own needs and learned a lot about alloy manufacturing. But finding the right combination always requires some inspiration, patience and luck.

Therefore, most alloys are made from a single base metal (such as iron), and the obtained characteristics are observed by adding a small amount of other metals.

However, in the past few decades, the situation has begun to change-some researchers have begun to make alloys containing several metals in equal parts.

Of course, it is much more difficult to make this alloy with specified characteristics. In this new work, researchers apply machine learning to help this process. They first reduced the test space to only one application-making alloys that will not expand and contract too much when exposed to temperature changes.

In order to create a machine learning application, researchers searched and found metal features that can be used for comparison purposes, and then trained their systems using the information in the currently available databases. In the process, they developed a process to find an alloy suitable for the required goal.

The team’s process was reduced to three main steps: First, they created a new mixture using a model based on information stored in a database describing metal characteristics. Then, they use the second model to help predict the properties of some alloys they created in the first step. The last step is to study the candidate alloys produced by the system and select some of them for practical testing.

Using this system, the researchers obtained 1000 candidates, which were narrowed down to three alloys. Then, they made three kinds of alloys using the mixture described in the system and tested their physical properties.

The team used data from real alloys to train the system and repeated the whole process. They chased it for seven times and found an alloy with a thermal coefficient lower than the current record.

In their paper published in the journal Science, the team described their three-step process and its performance in the test. Scientists from the Institute of Metals, Chinese Academy of Sciences published an article on the prospect in the same issue, describing the work done by the team on this new project.

Reference: https://techxplore.com/news/2022-10-machine-optimal-mixture-metals-desired.html.

JD.COM Group released Q4 and annual financial report： jingdong cloud laid out industrial AI to promote artificial intelligence landing industry.

JD.COM Group (NASDAQ: JD, HKEx: 9618) released its fourth quarter and annual results in 2022, with annual net income exceeding one trillion yuan. In the fourth quarter, its net service income was 57.8 billion yuan (about 8.4 billion US dollars), a year-on-year increase of 40.3%. Jingdong cloud, as the core brand of technology and services provided by JD.COM, continues to exert its cutting-edge technology and digital infrastructure to boost the real economy to achieve high-quality growth with the ability of digital intelligence supply chain.

Since the comprehensive transformation to technology in early 2017, JD.COM system has invested nearly 100 billion yuan in technology, continuously strengthened its own technical capabilities and industrial digitalization capabilities, and provided technology and services to the outside world with jingdong cloud as its core brand. In the field of AIGC and big model, jingdong cloud’s artificial intelligence application platform of Yanxi is preparing for the industrial version of ChatGPT to accelerate the landing of artificial intelligence technology in the industry. At present, Yanxi virtual anchor has served more than 4,000 brands; JD.COM Exploration Institute upgraded the model of the Weaver Girl, and topped the list of SuperGLUE, an international authoritative task evaluation for complex language understanding.

Jingdong cloud continued to dig deep into cutting-edge technology, and the Weaver Girl model topped the national list again.

In the basic model of common language understanding, JD.COM Exploration Institute upgraded the Vega v2 model with larger scale, stronger performance and better mobility. This model can be widely used in many downstream natural language processing tasks, such as sentiment analysis, semantic matching, grammar correction, intelligent question answering, common sense reasoning and so on. On the SuperGLUE list of international authoritative complex language understanding task evaluation, Vega v2 model surpassed top international institutions such as Google, Microsoft, Facebook and OpenAI, and topped the world with an average score of 91.3.

This is not the first time that the Weaver Girl model has won the championship. Vega v1 ranked first in the top test GLUE in the global natural language processing field with a total average score of 91.3. Vega-MT also won 7 track titles in WMT2022 International Machine Translation Evaluation. The winning of Vega series models proves that JD.COM Exploration Institute’s multilingual natural language processing technology is leading in the field of super deep learning.

Jingdong cloud exports industrial AI capabilities, and digital intelligence technology helps thousands of industries to grow with high quality.

Jingdong cloud’s artificial intelligence application platform is preparing for the industrial version of ChatGPT, and has announced the "125" plan of landing application roadmap. JD.COM will focus on two advantageous industries, namely retail and finance, and carry out technical research around five types of applications: content generation, man-machine dialogue, user intention understanding, information extraction and emotion classification, so as to accelerate the development and landing of artificial intelligence technology in China with the strength of industrial AI and promote the development of real economy.

In the field of digital people, jingdong cloud has launched the virtual anchor of Yanxi. Driven by AI, the virtual anchor of Yanxi has a changeable image, a voice comparable to that of a real person, and a wealth of e-commerce knowledge accumulation. At present, it has interacted smoothly with the audience in hundreds of brand live broadcast rooms, widely serving 3C home appliances, beauty cosmetics, maternal and child, pets, home and other stores, and providing digital anchor services for many well-known brands such as Lenovo, Nut and Yili, bringing millions of GMV growth every day.

Jingdong cloud, as a "more industry-aware" cloud, will not only deepen its technology and maintain its leading position in the industry, but also rely on its own practical experience in the industry to continuously precipitate technology into services and land in major industrial scenes, so as to build an efficient driving force for thousands of industries to build a digital and intelligent supply chain, promote the construction of a modern industrial system and help the industry rebuild its global competitiveness.

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