- 
              Workshop OverView
- 
             
              The AI Computing Workshop is equipped with a range of computing and perception equipment such as high-performance workstation, 3D handheld scanner, VR headset, NAS Storage Devices and depth sensor. This space is dedicated to support machine learning, computational modeling and navigation & positioning, and improving students’ project practice skills. Engineer
- 
                Training IntroductionThe AI Computing Workshop regularly hosts themed educational and fun software training activities aimed at helping students master the basics of software development. The hands-on projects attract participants with their beginner-friendly nature, these projects allow students to experience the joy of programming and software development. The training sessions will allow students to experience the joy of designing works while learning the basic principles of the computational thinking. 
- 
                  Training Introduction VIEW MORE
Workshop EQUIPMENT
- 
                  NUC mini computer  Equipment IntroductionLightweight computing, Portability experiment USB Configuration:Rear 4x USB 3.2g2, 2x TB3 (USB 3.2g2) Internal Headers 2x USB 3.2g2 via Type-C Key B, 2x USB 2.0 Size: 203 x 131 x 38mm 
- 
                  3D handheld scanners  Equipment IntroductionSpecially referred to as scanning, product design, reverse engineering Requirements of point cloud + RGB (i.e. collecting color information) Scanning accuracy of 0.05mm or higher Scanning scale of 0.1-3m Output 3D formats such as OBJ, STL, etc. 
- 
                  UAV drones  Equipment IntroductionData collection Architectural surveying Low altitude photography 
- 
                  Depth sensor  Equipment IntroductionCapture scene depth information Robot navigation & autonomous driving Intelligent monitoring 
- 
                  Meta VR headsets  Equipment IntroductionSimulation environment development Processor and memory:Snapdragon XR2 Gen 2 with 8GB of RAM Resolution:2064 x 2208 Field of view:100 degrees horizontal, 96 degrees vertical 
- 
                  High-performance workstation  Equipment IntroductionDeep learning, Scientific computing simulation, Wngineering application design GPU Nvidia RTX A5000*2 , 24GB, 4DP (Precision 7920T) 256GB (4x64GB) DDR4 3200MHz RDIMM Ubuntu 20.04 & Windows 10 
Supplies
- 
                Wireless network card
- 
                Memory card
- 
                Data cable
 
           
                  