On June 1st, the first “China-Singapore Artificial Intelligence Summit Forum†with the theme of “Deep Vision, Dialogue with the Future†was held in the Science and Technology Island of Nanjing, China.
In this forum, the big coffee gathered, gathered a number of Chinese and Chinese academicians such as Li Deyi, Zhou Zhihua, Ling Xiaofeng, as well as representatives from the companies such as Keda Xunfei, Xiaoyi Robot, and Yunzhisheng. Among them, Zhang Daochang, the president of Singapore University of Science and Technology, delivered a keynote speech on "Thinking about Machine Learning."
Figure | Zhang Daochang
Among them, President Zhang Daochang shared their SUTD's several directions in innovative higher education:
The first is to break the island and have interdisciplinary learning;
The second is to develop skills and skills, and beyond the knowledge of books;
The third is to provide flexible and selective diversified education, and teach students in accordance with their aptitude;
The fourth is the innovation of educational methods, such as the digital technology platform;
The fifth is the relationship between integration and industry.
The following is the speech of Zhang Daochang's speech:
At present, the Industry 4.0 revolution has a challenge, that is, education. How can we enable universities to better prepare talents and deliver talents suitable for Industry 4.0 to society? From the perspective of education, we can talk about how to change higher education so that talents can prepare for the era of change.
I mainly talk about artificial intelligence, briefly introduce the development of Singapore's artificial intelligence, and the development of our university's artificial intelligence industry in Singapore.
Today's digital transformation has brought the whole world to the fourth industrial revolution. Compared with the previous three industrial revolutions, the fourth industrial revolution is not only a technological innovation, but also a big brain, allowing us to be free from the digital world. Sewing transformation, creating the Internet of our people, the Internet of products, the Internet of services, and the Internet of data, so we have now evolved from the original mechanization to autonomous/unmanned applications.
In addition, the new industrial revolution is more comprehensive, including thousands of things that we have not seen before. Therefore, the impact of the fourth industrial revolution is multi-faceted, involving different industries such as the economy, including the entire society will be far-reaching.
Let's take a look at the impact of artificial intelligence on jobs. More jobs will be replaced by advanced robots and machine intelligence, which will be very fast. From the economic point of view, in addition to the economy itself, it also includes innovation – we have new currency “information and dataâ€, new capital “creative talentâ€, and interdisciplinary, the skills it teaches are artificial intelligence. Includes data analysis and 3D printing.
Because of this influence, most of the positions will undergo a very fundamental change, and the entire industry will also challenge – some advanced robotics and machine learning, as well as artificial intelligence will likely replace humans. In some low-end jobs, artificial intelligence will squeeze people out and create new jobs. However, those who need to be creative, need to be interdisciplinary, and need a complex knowledge system, can't simply be replaced by smarter machines. At this time, for employers, they should be able to continually retrain employees. They get some new skills.
At the same time, for some employees, they need to embrace new technologies and learn new things. We need an interdisciplinary study and we must also develop a way of thinking that is continuous learning and lifelong learning. Only by doing this in the education system can we help us meet the challenges of the fourth industrial revolution.
This involves my main topic - from the perspective of the university, how do we train talents and let such talents lead the fourth industrial revolution?
Quite clearly, we can't use the 20th century curriculum to train talents in the 21st century. We need to boldly innovate and ask some more fundamental questions. For example, what is the sign of intelligence? What should the organizational structure be like? What about courses, degrees, teaching methods, and research methods? What is lifelong learning? How to use information technology? ... We must be able to ask these questions.
So here, I will share with you how we have answered these questions. We are working with MIT and Zhejiang University to run a school. We have five key parts:
The first is to break our island behavior and combine interdisciplinary learning with global engagement. For traditional education, we always think of some industries, such as civil engineering, mechanical engineering, electrical engineering or some other very specific areas.
Now, we need to know exactly what we need, products, resources and systems. We need to have a level of connectivity so that students have a good foundation. Therefore, we need to help them lay the foundation in the school. We need to set up an interdisciplinary and multidisciplinary teaching so that they can find their own interests, so that they will have a good motivation to learn.
Second, develop their skills, but not just limited to book knowledge, including creativity and so on.
Third, create a flexible, selective and diverse education that allows students to choose their own and teach them in accordance with their aptitude.
Now we are more inclined to balance education, such as creative thinking, empathy and lifelong learning. In addition, students must have a good attitude, be enthusiastic and able to work together to form a growth-oriented thinking; in addition to learning in the classroom, there must also be a global learning channel, bringing more choices and more A multi-diversified path.
At the same time, we have a flexible curriculum that allows students to choose the course menu that best suits their future career. This is called future-led learning.
Fourth, develop a dynamic interactive digital learning that is scalable and capable of facing a very large and diverse group of students. We have such a digital online learning platform called flipping classroom (mixed learning) with industrial colors.
Nowadays, many students have been integrated into the society and integrated into the industry during the undergraduate period, rather than simply waiting. For example, full-time graduate students, we can teach their graduate courses online, not necessarily full-time. In this way, they can learn some of the most basic knowledge online, and we call this "competitive modular learning." Based on this learning model, if they decide to return to full-time study, the overall learning time can be shortened because the foundation has been laid in the past. In addition, in addition to digital platforms and universities, they can also choose MOCO to learn to create a modular learning that allows students to have multiple paths to choose from.
The fifth is to integrate other resources of production and learning, and to cultivate some skills in the field of artificial intelligence. For example, like medical care, and artificial intelligence, we hope to have a tightly integrated approach called "joint creation." The industry will give us some advice to help us shape the course. If we want to train students to support the industry, we have to work with the industry to retrain talent. In addition, these students must undergo repeated and continuous learning, and only then can they face the ever-changing world.
We also coach and develop graduates with technical backgrounds to meet the new needs of the entire industry.
In Singapore, you can see research in industry, including six universities, as well as research institutions, industry companies, and so on.
Our university now focuses on some of the technologies of artificial intelligence. It has been four to five years. We have formed a good partnership with the industry, such as the University of Science and Technology, and we have signed a memorandum of understanding with them.
It is very important to talk about here. Like artificial intelligence research, how can we organize well, mainly in four comprehensive and comprehensive fields, such as us, the most basic research of theory and AI system, and the discovery of AI. Human-computer interaction and future artificial intelligence infrastructure.
We need good integration, including cooperation in education or cooperation with industry companies. In addition, we have set up training and scholarship programs. These are all part of the integrated approach that can have a profound impact on the industry and schools.
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