Training topic:

ONNX (Open Neural Network Exchange) is an open-source framework designed to enable interoperability of machine learning models across various AI tools and platforms supported by many key players in the field. It provides a standard format for representing machine learning and deep learning models. This simplifies deployment and enhances reproducibility of experiments. ONNX supports a wide range of operations and architectures, making it versatile for both industry and academia. By standardizing model representation and providing robust optimization and deployment tools, ONNX lowers barriers to advanced AI research and application, making cutting-edge technology more accessible to the scientific community. ONNX is particularly valuable for basic science because it promotes collaborative research by offering a common language for different tools. It accelerates experimentation, enabling rapid testing and validation of models. Compatibility with various hardware accelerators ensures efficient model execution. ONNXRuntime optimizes model performance, crucial for deployment in resource-constrained environments.

The seminar will also provide a status on the considerations for the use of ONNX in SPACE.

In a talk about ONNX and the LF AI & Data (Linux Foundation AI & Data) initiative, attendees will learn about the key concepts, technologies, and opportunities related to ONNX as well as the broader AI and data ecosystem supported by the Linux Foundation. In addition, users will be given points of contact if they plan to use onnx in their own field.