Handuo Zhang
  • Bio
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  • Projects
    • G-Mate - Build a Copilot for KOLs, from Content Creation to Monetization
    • W-Hiring
    • Lupan
    • Watt
    • UGV_Stereo
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  • Blog
    • DeepSpeed + Accelerate
    • 🧠 Memory Definition in LLM Applications
    • Seq2seq Model with Attention
    • How to remotely edit your project without having to use VIM
    • You only look once (YOLO) -- (2)
    • Pooling Layer in CNN (1)
    • SVO相关问题
  • Publications
    • Real time multiple object tracking using deep features and localization information
    • Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size
    • GMC: Grid Based Motion Clustering in Dynamic Environment
    • A consistent and long-term mapping approach for navigation
    • Ultra-wideband aided fast localization and mapping system
    • A hybrid feature parametrization for improving stereo-slam consistency
  • Recent & Upcoming Talks
    • Towards Smarter Deployment Cycle for AI Models under 5G
    • Future Trends in Cloud Computing and IoT
  • Teaching
    • NTU 2024 EE7207 Neural Networks & Deep Learning

Towards Smarter Deployment Cycle for AI Models under 5G

Feb 20, 2023·
Dr. Handuo Zhang, Mind Pointeye
· 0 min read
The talk
Abstract
The talk will introduce the latest projects that aim to optimize the deployment cycle of AI models under 5G, including the latest research and industry applications.
Date
Feb 20, 2023 1:00 PM — 3:00 PM
Event
5G-Enabled Sustainable and Safe Built Environments
Last updated on Nov 17, 2024
Future Trends in Cloud Computing and IoT Jan 14, 2023 →

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