The ever-growing power of AI comes at a cost – significant energy consumption from training and running complex models. This session dives into the concept of Green AI and explores how open-source frameworks can empower you to build sustainable AI solutions.

I will discuss:
The environmental impact of traditional AI development.
Strategies for optimizing AI models and frameworks for reduced resource usage.
How open-source communities are fostering innovation in Green AI.
Practical examples of building sustainable AI solutions with open-source tools like TensorFlow Lite and PyTorch Mobile.

This session is ideal for developers, engineers, and researchers
who want to:
Minimize the environmental footprint of their AI projects.
Leverage the power of open-source frameworks for building Green AI solutions.
Stay at the forefront of responsible and sustainable AI development.