How to Optimize, Validate and Deploy ML Models on Device
July 21, 2025
1h 1m
Free
machine-learning
ml-deployment
on-device-ai
qualcomm
ai-hub
optimization
validation
tensorflow-lite
onnx-runtime
android-development
performance-tuning
mpu
android
Description
This presentation explores the process of optimizing, validating, and deploying machine learning models directly on devices. The speakers highlight the benefits of on-device AI, including cost savings, enhanced privacy, and improved performance. They introduce Qualcomm AIHub as a platform designed to simplify this workflow, offering pre-optimized models and tools for developers to bring intelligent applications to a wide range of devices.