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09:04 Model Optimization Techniques
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Classroom Contents
Optimizing Real-Time AI Inference at the Edge
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- 1 00:00 Introduction to the Conference
- 2 01:01 Challenges in Autonomous Vehicle Processing
- 3 01:33 Data Generation and Latency Requirements
- 4 02:34 Environmental Variability and Adaptive Computation
- 5 03:00 Evolution of Edge Computing for Autonomous Cars
- 6 04:10 Edge vs. Cloud Computing
- 7 05:19 Hybrid Approach in Autonomous Vehicles
- 8 06:47 Optimization Techniques for Autonomous Driving
- 9 09:04 Model Optimization Techniques
- 10 10:41 Hardware-Aware Neural Architecture Improvements
- 11 12:04 Emerging Trends: Neuromorphic Computing
- 12 13:46 Future Directions in Distributed AI and Continuous Learning
- 13 14:53 Conclusion
