Artificial Intelligence | Hybrid Workshop | Chinese | Asia-Pacific
Description:
人工智能是怎么理解这个世界的？AI眼中的世界是什么样的？本次工作营围绕城市认知问题，通过对城市大数据的收集和机器学习，我们将训练AI来重新认识我们的世界，对城市特征进行定量化的评估和优化。工作营将从人工智能理论介绍开始，展开至城市数据的爬取和神经网络模型训练，将方法论、技术部署、用户交互三者结合。在方法论的创新上，我们旨在提出一种基于AI和量化评价指标的城市评估和优化方法，对传统的城市设计手法提出挑战。技术层面，学员将使用课程教授的技术手段，自由探讨主题，并训练独特的AI系统来预测城市特征。用户交互方面，我们将AI模型作为城市用户互动体验的实验，基于APP和web端开发应用系统。课程分为线上和线下两部分同时进行。线上课程包含两次授课（理论+实践）和一次评图；线下课程包含额外的技术课程和成果产出，以小组的模式筹备展板，制作成果视频，并开发应用端APP。
Key Words:
人工智能,机器学习,城市感知,城市设计
Required Skills:
初级Python，初级JavaScript，初级Grasshopper，初级Rhino
Required Software:
Rhino，Anaconda，Chrome
Required Hardware:
个人电脑
Maximum number of participating students:
线下20人，线上100人。（线下参与的学生，同时参与线上同步和线下组织的课程。线上参与的学生，只参与线上同步授课的课程。）
Schedule:
Jun 26 - Jul 4
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Day 1 / Jun 26
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Day 2 / Jun 27
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Day 3 / Jun 28
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Day 4 / Jun 29
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Day 5 / Jun 30
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Day 6 / Jul 1
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Day 7 / Jul 2
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Day 8 / Jul 3
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Day 9 / Jul 4
Instructors:
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Hao Zheng 香港城市大学 | City University of Hong Kong,助理教授 | Assistant Professor郑豪博士现任香港城市大学建筑学及土木工程学系助理教授，建筑学项目副主管，建筑智能研究组主任。他博士毕业于宾夕法尼亚大学（University of Pennsylvania），专攻机器学习，生成式人工智能，数据驱动式设计，大数据分析。他于加州大学伯克利分校（UC Berkeley）获得建筑学硕士学位，于上海交通大学获得建筑学学士及文学学士学位。他曾工作于清华大学和加州大学伯克利分校，研究机械臂辅助施工，机器学习，仿生式3D打印。他的教学经验包括，同济大学工作营导师，宾夕法尼亚大学讲师，上海交通大学设计实践导师等等。同时，他还担任行业最高水平的国际会议ACADIA、CAADRIA、CDRF的协办人和审稿人，20余本SCI/SSCI/AHCI期刊审稿人。他总计发表国际顶级会议以及中科院一区SCI和AHCI收录文献在内的40余篇学术文章，其中包含Advanced Science封面文章。他受邀在国际大型会议上发言20余次，参与各大高校和学术组织的公开演讲50余次，涵盖帝国理工学院（Imperial College London），清华大学，上海交通大学，同济大学，华南理工大学等国内外知名学府。他拥有多年的建筑行业人工智能开发经验，曾担任多家建筑科技公司专家顾问与项目负责人，主持开发和研究项目金额总计超过540万元人民币。 | Dr. Hao Zheng currently serves as an Assistant Professor and the Associate Leader of Architecture Programs at the Department of Architecture and Civil Engineering, City University of Hong Kong. He is also the director of Architectural Intelligence Group (AIG). He graduated from the Ph.D. program at the University of Pennsylvania, specializing in machine learning, AI-generated content, data-driven design, and big data analysis. He holds a Master of Architecture degree from the University of California, Berkeley, and Bachelor of Architecture and Arts degrees from Shanghai Jiao Tong University. Previously, Hao worked as a research assistant at Tsinghua University and UC Berkeley with a concentration on the robotic assembly, machine learning, and bio-inspired 3D printing. His teaching experience includes: workshop tutor at Tongji University; lecturer at the University of Pennsylvania; teaching fellow at Shanghai Jiao Tong University. Also, Hao serves as the co-organizer and reviewer for international conferences of ACADIA, CAADRIA, CDRF, and more than 20 SCI/SSCI/AHCI journals. His publication includes around 40 papers in top international conferences and SCI/AHCI journals, including a cover paper in Advanced Science. He has been invited to give more than 20 speeches at large international conferences, and give more than 50 public lectures at universities and academic organizations. He has led development and research projects with a total amount of more than 750,000 USD.