02.02.2023 Events

ONLINE SEMINAR ON "FUNDAMENTALS OF EDGE AI TECHNOLOGY AND ITS APPLICATION TO AI SYSTEM ACCELERATION" THURSDAY, FEBRUARY 16, 2023

Our engineers will give a seminar on "AI systems using deep learning models, advantages and disadvantages of edge AI, key points of edge AI development, technologies to accelerate AI systems, and efficiency of edge AI development".

The points are as follows. We hope you will join us.

  • COURSES TO ACHIEVE SYSTEM ACCELERATION AND COST REDUCTION THROUGH BROAD MASTERY OF AI SYSTEM FUNDAMENTALS AND EDGE DEVICE TECHNOLOGIES BASED ON DEEP LEARNING MODELS.
  • LEARN THE FLOW OF EDGE AI DEVELOPMENT, ITS CHALLENGES AND COUNTERMEASURES, AND APPLY THEM TO THE IMPLEMENTATION OF AI SYSTEMS THAT MEET THE REQUIREMENTS OF INFERENCE ACCURACY AND SPEED ON INEXPENSIVE AND LOW-RESOURCE COMPUTING RESOURCES!

For more information about the online seminar: https://www.j-techno.co.jp/seminar/seminar-53497/

Seminar Information

  • Date & Time: Thursday, February 16, 2023 10:30 ~ 17:30
  • Location: Online seminar (hosted by Japan Techno Center)
  • Who Should Attend
    • AI ENGINEERS
    • ENGINEERS WHO ARE CONSIDERING INTRODUCING AI INTO EMBEDDED DEVICES
    • ENGINEERS WHO ARE CONSIDERING IMPLEMENTING AI IN THE CLOUD
    • THOSE WHO ARE CONSIDERING IMPROVING THE OPERATIONAL COST AND ENVIRONMENTAL IMPACT OF AI.
  • background knowledge
    • THE PRESENTATION WILL START FROM THE BASICS OF AI SYSTEMS USING DEEP LEARNING MODELS, BUT PRIOR KNOWLEDGE OF DEEP LEARNING MODELS FOR IMAGE RECOGNITION SYSTEMS WILL HELP YOU UNDERSTAND BETTER.
  • acquired knowledge
    • ADVANTAGES AND DISADVANTAGES OF IMPLEMENTING EDGE AI
    • CHALLENGES AND COUNTERMEASURES IN EDGE AI DEVELOPMENT
    • Characteristics and Usage of Various Edge Devices
    • Acceleration techniques for deep learning models (quantization, branch pruning, frameworks for inference, etc.)
  • Program *Please see the application page for details.
    • 1. FUNDAMENTALS OF AI SYSTEMS USING DEEP LEARNING MODELS
    • 2. FLOW OF EDGE AI DEVELOPMENT
    • 3. edge devices
    • 4. SPEEDING UP AI SYSTEMS
    • 5.AI SYSTEM ACCELERATION TECHNOLOGY - OTHER THAN DEEP LEARNING MODEL PART
    • 6. AI SYSTEM ACCELERATION TECHNOLOGY - DEEP LEARNING MODEL PART
    • 7. TOWARD MORE EFFICIENT EDGE AI DEVELOPMENT
    • 8. Summary
  • Application: https://www.j-techno.co.jp/seminar/seminar-53497/