Teaching and learning in the AI era, let science and technology support the curriculum and practice the student-oriented classroom. Before we met, I was a little awed to hear that Pei-Chun Chen was the chief scientist of machine learning in Inventec AI Research Center. Before the interview, I was worried that the scientists were too abstruse, but as soon as I entered the conference room, Pei-Chun Chen, with fair skin and short hair, was busy turning on the computer and showed the reporter a short video of her daughter singing good night songs to robot dogs and helping them celebrate their birthdays. "Children like robot dogs very much and always want to teach them by persuasion. It's a pity that dogs don't know much about Japanese ... "
Pei-Chun Chen's past works have been used in the scope of "From Earth to Mars", which sounds incredible, because she developed open source software for computer vision (OpenCV) at Intel. As long as it is used to calculate movies and photos, not only computers, but also cameras, mobile phones, supercomputers, self-driving cars, medical imaging software and hardware, including Mars exploration vehicles such as Opportunity and Curiosity.
Pei-Chun Chen has been working in the forefront of research and development in Silicon Valley since he received his Ph.D. in the United States. One of the important reasons for returning to a new job in Taiwan Province Province in 20 18 is that at this stage of my life, I can let my daughter go to a local primary school and accompany my mother to buy food in Hualien, my hometown. "Because family is the most important thing. As the chief scientist exploring the unknown future, Pei-Chun Chen said, "cramming education must not face the future. Facing the future world, you must be curious about people. 」
I returned to Taiwan Province Province from Silicon Valley and took over Inventec's new position less than a year ago. She lives in Hualien, but works in Taipei. On the days when she goes to work in the Taipei office every week, she has to take the early flight to work and the late flight home. "Have time to look at the children's homework? The reporter asked. " Be sure to accompany your children to do homework and tell stories every day, because the most important thing in life is family, "Pei-Chun Chen repeated without hesitation.
After receiving a master's degree in electronic engineering from Tsinghua University, Pei-Chun Chen went to Carnegie Mellon University to study for a doctorate in computer vision. After graduation, I took a part-time job in the university and became the first architect of video processor in NVIDIA. Later, I was hired by Intel, and then I started my business for the first time, started my business for the second time, was acquired, and then returned to Taiwan Province Province.
"I wanted to be a scientist since I was a child, but later I found out that I didn't know who I was really reading the thesis written by my doctor. But it's interesting to enter this industry, meet people and promote the work of changing the world, "Pei-Chun Chen said.
What is the daily work content of "Chief Scientist of Machine Learning in AI Research Center"? Is it facing the supercomputer or burying yourself in the lab all day? "In fact, my daily job is to communicate. 」
Communication? Pei-Chun Chen explained that because of the long market life cycle of products in the past, everyone can wait for the boss's instructions before starting work; But now technology is changing so fast that many things are brand-new, even the boss has never seen them, has no experience, and doesn't know what to do, so he must make adjustments while doing it.
She bluntly said: "The current working methods are all partners, and everyone has to contribute their expertise and solve problems that they have never seen before. For example, my specialty is rich experience, and my colleagues' specialty may be familiarity with the latest programming languages. We should work together. The "boss" no longer exists, and the market demand is the real boss. Changes are rapid, and both enterprises and individuals should adapt quickly. 」