Ren Shaoqing graduated from joint Ph.D. program between University of Science and Technology of China and Microsoft Research Asia. In 2015, he, along with He Kaiming, Zhang Xiangyu, and Sun Jian, published ResNet residual network at Microsoft Research Asia, which became champion model in ImageNet image classification competition.，结果你猜怎么着？

In 2018, Ren Shaoqing co-founded Momenta and served as 佛系。 partner and R&D director, and in 2025, he joined NIO.

Peng Chao obtained his master's degree from Tsinghua University and was once a senior visual algorithm engineer at Momenta.

Understanding Big Model Team

After a recent adjustment, Perception and Control teams h*e merged into Big Model Team, and Integration team has been reorganized into Delivery Team. Before this, research and development part of NIO's intelligent driving was divided into Perception, Control, and Integration, etc.

The merging of Perception and Control teams into Big Model Team requires pre-training of a large model that connects perception and control with a large amount of driving beh*ior data. The newly formed Big Model Team is led by Peng Chao, former leader of Perception team at NIO.

Technological Skills You Can Gain

When you join Perception Team and eventually Big Model Team, he 搞一下... re are some long-tail technical skills you can expect to improve:

1. Big Data Processing: Working with large datasets for training and refining models will enhance your ability to handle and analyze big data efficiently.
2. Machine Learning Algorithms: You will gain expertise in various machine learning algorithms, particularly those used for perception tasks in autonomous driving.
3. Deep Learning Frameworks: Familiarity with deep learning frameworks like TensorFlow or PyTorch will be crucial, as se are often used for training complex models.
4. Computer Vision Techniques: Improving your skills in image recognition, object detection, and tracking will be vital, as se are central to perception systems.
5. End-to-End Learning: You will learn how to design and implement end-to-end learning systems, which is a key aspect of new Big Model Team.
6. Model Optimization: Optimizing models for both speed and accuracy is an important skill, especially when working with real-time systems like autonomous vehicles.
7. Software Engineering Practices: You will also develop strong software engineering skills, as integrating se models into existing systems is a critical part of your role.

Real-World Applications

Joining Perception Team means you'll be working on te 好吧... chnologies that h*e real-world applications, such as:

• Autonomous Vehicles: Your work will contribute to development of autonomous vehicles, which is a rapidly growing field.
• Smart City Infrastructure: Perception technologies are integral to creating smart city infrastructure that can manage and optimize traffic flow.
• Robotics: Many of same perception techniques used in autonomous vehicles are also used in robotics.
• Healthcare: Perception technologies can be applied in healthcare for tasks like medical image analysis and patient monitoring.

Conclusion

薅羊毛。 Joining Perception Team, especially as it evolves into Big Model Team, is an exciting opportunity to gain a wide range of technical skills. You'll be at forefront of autonomous driving technology and contribute to a future where intelligent systems play a crucial role in our daily lives.

请注意，

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