斯坦福大学计算机类科研

斯坦福大学计算机类科研

Stanford University CS/EE Research

科研时间：

6月1日--9月1日，每期时间长度为3—4周；

（针对假期只有3周的学生，可选3周实地+1周远程，确保科研收获）

科研主题：

博弈论、人工智能、机器学习、机器人、计算机、大数据及应用、AlphaGo

面向对象：

欲以申请美国常青藤名校计算机、电子工程、机械、统计、数学等相关专业的本科生、研究生为主

科研概述：

Reinforcement Learning (RL) is a research of methods that train an agent to maximize reward by interacting with the environment. By learning from experience and exploring the environment, the agent can learn about the dynamics of the environment and figure out best ways to accomplish tasks.

Deep Learning (DL) is a research of methods that take inspiration from signal processing in the brain. Through massively parallel computation with millions of neurons, the system can learn to accomplish complex tasks such as visual perception, audio understanding, natural language translation, and even reasoning.

In this project, we combine reinforcement learning and deep learning to train an agent that can interact with a complex environment. With deep learning, the agent can process complex visual input typically associated with a robotics or game environment, and with reinforcement learning, the agent can learn to accomplish goals based on its processing of the environment.

Example applications of combination of RL and DL include AlphaGo from Google Deepmind, and advanced robotics control from OpenAI and UC Berkeley.

Requirement

To accomplish the project, participants are expected to posses the following skills

Required:

1. Strong programming skills, familiar with at least one programming language.

2. Good math skills, familiar with algebra and probability.

Recommended:

1. Experience with using linux-based shell environments.

2. Basic knowledge of linear algebra.

3. Familiarity with python.

4. Basic knowledge of machine learning.

This project is advanced and challenging. If the student does not have enough prior experience to finish the project, he or she may participate in a simplied version of the project. i.e. reinforcement learning only or deep learning only, depending on the specific situation of the student.

科研亮点：

1. 进入美国名校实验室/科研组，接触尖端科学

为未来赴美深造做准备；科研经历是美国名校申请的基石，顶级名校的科研项目是对学生有能力完成名校学业最好的证明。

2. 师从导师开展实验项目

高层次的人脉和校友关系，与学生为伍的人是诺贝尔奖获得者、美国科学院院士、教授、名校博士、硕士，学生将体验到世界最顶级学术专家们的思想和气质。

3. 获得导师推荐信和科研证书

对于优秀学生可以获得名校导师的推荐信，大大助力未来的留学申请；

4. 全天候专业英语环境，迅速提升专业水平

提升沟通和专业英语水平，提升专业知识和能力，用实践使学生的理论知识更加具体形象。

5. 高含金量收获助力未来留学深造及就业

在名校导师指导下的科研过程将帮助学生明确自身发展方向，不断深化对于美国学界的了解与认同，帮助参与学生及家长明确未来的学校及专业申请方向；从而更好的明确留学的目的与意义，摆脱盲目，获得真知。

科研收获：

1.科研完成时，学生将会全面了解生命科学类基本知识和最新进展。

2.挑战自身潜能，切身体会斯坦福大学顶尖科研环境，在严苛的训练下快速成长。

3.极大拓宽视野，实地感受国内外科研区别。通过此次科研，参与学生将会对留学名校有个清晰的认识，并依此做出最优的人生规划。

4.学生将有机会与顶尖教授零距离交流套磁，了解斯坦福的内部申请信息。

咨询方式：

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