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World Congress 2023 • Aug 11, 2023

Trends, Challenges and Best Practices for AI at the Edge

Ekaterina Sirazitdinova

How do you deploy zero-latency AI on devices with strict compute and power limits? Learn to master quantization, pruning, and NVIDIA frameworks to conquer edge deployment.

Starting at 18:20 · Watch from the beginning

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Matching moments

2:18 min

The necessity of Edge AI and its driving constraints

Sasha Denisov Sasha Denisov +1 · World Congress 2026 Europe

1:56 min

Optimizing AI processing capabilities for edge microcontrollers

Stephan Gillich Stephan Gillich +3 · World Congress 2024

3:21 min

Reducing cloud dependency with on-device edge AI models

Precious Osaro Precious Osaro · World Congress 2026 Europe

2:26 min

Cost and latency pressures pushing AI to the edge

Moe Sani Moe Sani · World Congress 2026 Europe

1:09 min

Deploying algorithms and AI models to edge production

Irina Terekhova Irina Terekhova · World Congress 2026 Europe

3:27 min

Projecting the transition toward edge computing and software efficiency

Ed Huang Ed Huang +4 · World Congress 2026 North America

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Built-In AI in the Browser: Practical Capabilities for Modern Web Apps

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