[Onsite training] Machine Learning (Part II) – A tool to identify unknown opportunities and risks in your production(EN) Go back »
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Time2020-07-23 | 09:15 - 17:00
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Venue:KIT China Branch, SUZHOU
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Address:
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Fee:Members: 2000 |
Non Members: 2000
As one method in the wide field of Artificial Intelligence, Machine Learning is a data analytics technique based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Growing volumes of available data as well as cheaper and more powerful computational processing allow a deeper understanding of manufacturing processes, which can lead for example to an earlier identification of risks or a better fulfillment of customer demands. Through the application of Machine Learning, it will be possible to gain even bigger insights to the captured data, since it enables a generation of models that can analyze bigger, more complex data and deliver faster, more accurate results. Today, Machine Learning applications can be found in various areas: From financial services for credit scoring and algorithmic trading over biology for tumor detection or drug testing to manufacturing industry for predictive maintenance through image and pattern recognition.
In order to learn more about Machine Learning to get familiar with a methodology how to implement Machine Learning projects and to get insights from case studies in industry, the European Chamber Nanjing chapter co-organized with GAMI to hold a 1.5 days training together with their partners wbk, amtc and Solomon on July 21 and July 23, 2020. This will include an online and an onsite session, to share with you knowledge and know-how on Machine Learning.
Part II: Onsite session on July.23,2020
Agenda:
09:00 – 09:15 Registration
09:15 – 10:00 Tool chain for machine learning in computer vision using CNNs, by Dr. Christopher Ehrmann | amtc
10:00 – 12:30
• Hardware implementation
• Image classification
• Object detection
• Transfer learning
13:30 – 17:00 Case study by Mr. Rick Chung | Solomon and Dr. Tobias Arndt | GAMI
Case study: Image recognition and Human Robot Cooperation
Case study: Robot control by voice and hand recognition
Case study: Image recognition and failure detection
Before the onsite training (part II), we highly recommend you to also join the online training (part I) on July.21 via ZOOM. Details about the online training, please click here.
Payment:
1. Bank transfer:
RMB Bank Account
A/C Name: 中国欧盟商会
A/C No.: 7110210182500027543
China CITIC Bank 中信银行京城大厦支行
Capital Mansion Sub Branch
No. 6, Xinyuan Nan Road
Chaoyang District, 100004 Beijing
北京市朝阳区新源南路6号京城大厦
S.W.I.F.T. Code: CIBKCNBJ100
2. Pay onsite through cash or Wechat.
Terms & Conditions:
This event has limited seating and requires registration and payment in advance. No walk-ins accepted.
Cancellation Policy:
If you cannot attend this training, please cancel your registration at least 3-working days before. If you fail to notify us of your cancellation in a timely fashion, you will be charged for event costs.
To cancel, please contact Ms. Annie Zhou at azhou@europeanchamber.com.cn.
Disclaimer免责声明:
Participants must maintain proper social distancing norms and abide by the Nanjing Municipal Government ’s Epidemic Prevention and Control Rules. If you do not follow the relevant regulations, the European Union Chamber of Commerce in China accepts no responsibility for any of your physical discomfort caused during and after the event. Thank you for your cooperation.
参与活动时,参会人应与他人保持适当距离(防疫考虑)并遵守南京市政府颁布的疫情预防控制要求(例如佩戴口罩等)。如您违反要求,中国欧盟商会对于您在活动中或者活动后的身体不适,不承担任何责任。 感谢您的理解和配合。
Speakers
Dr. Christopher Ehrmann
Dr. Christopher Ehrmann
Graduated from KIT in 2012 with a degree in mechanical engineering. Christopher Ehrmann was working as a research associate at wbk Institute of Production Science at KIT focusing on research and industrial projects in the field of mechatronics. Since 2017 he serves as group leader Industry 4.0 and Industrial Research at the Advanced Manufacturing Technology Center (amtc) of Tongji University. And the application of machine learning primarily in the fields of sensor fusion, condition monitoring and indoor navigation. Since July 2018 he is also the Liaison Officer for KIT at Tongji University.
Mr. Rick Chung
Mr. Rick Chung
Sales Director of Solomon machine vision dept. Rick has 25 years working experience in business intelligence, semiconductor, telecom, high-end manufacturing etc. industries on IT & technical, a foregoer in BI, Voice Recognition, IP/Telecom, BPO/Digital Marketing and Industrial Software.
Customers:
Shenji Group Kunming Machine Tool, Dongfeng Agricultural Machinery Group, Dongfeng CVT, Mitsubishi Elevator , XCMG Research Institute, Powertrain R&D Institute of Changan Automobile .
Dr. Tobias Arndt
Dr. Tobias Arndt
Completed his industrial engineering studies at RWTH Aachen University (Germany) in 2012 and also received his Master of Science at Tsinghua University in Beijing. He was working as a research associate and project manager at KIT for more than four years. Dr. Arndt conducted several research and consulting projects with industry related to production, logistics, and quality optimization. Since 2017, Dr. Arndt serves as the General Manager of GAMI, conducting projects in the fields of Industry 4.0 Roadmap Development, Digital Shopfloor Management, Intelligent Quality Assurance as well as Smart and Scalable Automation
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