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2020.7.21 & 7.23 | Machine Learning to upgrade your production
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2020.7.21 & 7.23 | GAMI Training "Machine Learning – A tool to upgrade your production"
"Machine Learning – A tool to identify unknown opportunities and risks in your production"
Training on 2020.7.21 & 7.23 by wbk, amtc, Solomon and GAMI
 
  • Part1,Online Session: 13:30-17:30 p.m. July21, 2020, Tuesday
  • Part2,Onsite Session: 09:00-17:00 p.m. July23, 2020, Thursday
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 more 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.
Inorder 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, GAMI will hold a 1.5 days training together with our 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.
Welcome to join us!
please download the flyer for more details
 
Arrengements
  • Time:
   Part1,Online Session: 13:30-17:30 p.m. July21, 2020, Tuesday;
     Part2,Onsite Session: 09:00-17:00 p.m. July23, 2020, Thursday
  • Location: ZOOM Online and KIT China Branch,SUZHOU (苏州工业园区月亮湾路10号慧湖大厦A座1101室)
  • Price:
     Option1 = 1500.00 RMB (Part 1)
     Option2 = 3500.00 RMB (Part 1 + Part 2)
  • 30 seats limited
  • Target group: middle management in industrial companies, representatives from public departments
  • Language: English
 
Agenda
Part1 –Online Session on Jul21, 2020
13:30 –13:40  Introduction
13:40 –14:10  Keynote - What is Machine Learning?
14:10 –14:40  The Machine Learning Implementation Model - The CRISP-DM Process
14:40 –15:20  Machine Learning Algorithms
15:20 –15:35  Coffee Break
15:35 –16:35  Practical Implementation Example 
16:35 –17:15  Examples from the Industry
17:15 –17:30 Wrap-Up
 
Part2 –Onsite Session on Jul23, 2020
09:00-09:15  Registration
09:15-10:00  Tool chain for machine learning in computer vision using CNNs
10:00-12:30
  • Hardware implementation
  • Image classification and objectdetection by AI-Camera Module (can be taken home after training)
  • Transfer learning
13:30-17:00  
  • Casestudy: Image recognition and Human Robot Cooperation
  • Casestudy: Robot control by voice and hand recognition
  • Casestudy: Image recognition and failure detection
 
Speakers
 
Mr. Tobias Schlagenhauf
Research Associate@ wbk –Institute of Production Science, Group: Tooling Machines and Mechatronics
 
Research
  • Deep Learning models for Failure Detection
  • Condition Monitoring of Ball Screw Drives
  • Industrial Speech Recognition
  • Machine learning for Product,Process and Plant automatization
  • Condition monitoring for Machine Components
 
Project Experience
  • Machine Learning in the Context of Laser Beam Welding
  • AIdriven Supported Maintenance
  • Artificial Intelligence in the straightening Process
  • Intelligent System for Detection of Surface Defects
  • Machine Learningfor Anomaly Detection
 
Mr.Markus Netzer
Research Associate@ wbk –Institute of Production Science, Group: Tooling Machines and Mechatronics
Research
  • Machine Learning for Product-,Process-and Plant automatization
  • Condition Monitoring for MachineComponents
  • Detection of Anomalies in automated operating Procedure
  • Pattern recognition in time series
ProjectExperience
  • AI based Anomaly Detection in machinetools
  • Condition Monitoring for Ball ScrewDrives
  • Sensors integration for intelligent components and machines
  • Intelligent process control for additive manufacturing
 
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. Since July 2018 he is also the Liaison Officer for KIT at Tongji University. His research applies machine learning primarily in the fields of sensor fusion, condition monitoring and indoor navigation.
 
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
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. Since2017, 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.
 
 
How to apply
If you are interested in this topic, please contact Ms. Yin via 0512-62967377, and send your contact info include name/company/title/mail/cellphone NO.via mail training@silu.asia, if you have any questions, feel free to contact us!
also you can scan the barcode for application, we will come back to you for more details once we receive your information.
 
Tel:0512/62967377
Deadline: 3 days prior to the Training Course
 
 
联系方式

GAMI – GAMI全球先进制造研究所
KIT中国研究院
地址:苏州园区月亮湾路10号慧湖大厦A座1101室
电话:+86-(0)512-62967399
邮箱:Info@silu.asia
网址:www.silu.asia
微信:KIT-ChinaBranch