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[Event Promotion] ONNX Community Meetup @ Microsoft (LF AI & DATA DAY)

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Please note -- this event requires RSVP on the Linux Foundation website (Need to log in to the LF site for RSVP. Please create your LF account first if you don't have your account yet)

## Microsoft and the LF AI & Data Foundation would like to invite you to the ONNX Community Day!

This event will be hosted in-person at the brand-new Microsoft Silicon Valley Campus on Friday, June 24th. There will be a livestream available for those that are unable to attend in person. The event will cover ONNX Community updates, partner and user stories, and plenty of community networking.

The main conference track will include lightning talks showcasing the innovative ways ONNX is being used across the ecosystem. We will have a breakout room available all day to continue the conversation around individual topics that you would like to dive deeper into. To close out the day of learning we will have special topic round tables to get your questions answered, followed by an ONNX Runtime-hosted happy hour to relax and connect with the community.

If you are using ONNX in your services and applications, building software or hardware that supports ONNX, or contributing to ONNX, you should attend! This is a great opportunity to meet with and hear from people working with ONNX and connect with this exciting and growing community!

The full schedule of this event will be available here

## Confirmed Sessions

  • Designed to be Optimized - GhostWriter.AI, Mauro Bennici
  • INT8 Inference of Quantization-Aware trained models using ONNX-TensorRT – NVIDIA, Dheeraj Peri
  • QONNX: A proposal for representing arbitrary-precision quantized NNs in ONNX - AMD, Alessandro Pappalardo
  • How to reconcile AI and privacy - Mithril Security, Daniel Huynh
  • Responsible AI @ ONNX: Metadata, Model Cards, and Provenance - Intel, Rodolfo Gabe Esteves, Bhargavi Karumanchi, Ria Cheruvu
  • ONNX and the JVM - Oracle, Adam Pocock
  • Build your high-performance model inference solution with DJL and ONNX Runtime - AWS, Qing Lan
  • Billions of NLP Inferences on the JVM using ONNX and DJL - Hypefactors, Viet Yen Nguyen
  • What's New in ONNX Runtime - Microsoft, Ryan Hill
  • Accelerating Machine Learning with ONNX Runtime and Hugging Face - Hugging Face, Jeff Boudier
  • PyTorch-ONNX Converter - Microsoft
  • Detect Safety Zone Violation in Manufacturing with SAS Event Stream Processing and ONNX models - SAS, Allen Langlois, Saurabh Mishra, Daniele Cazzari
  • Improving the online shopping experience with ONNX – Bazaarvoice, Matthew Leyburn
  • High-Performance Inference for Video and Audio - Adobe, Nikhil Kalra
  • Deploying on desktop with ONNX – Topaz Labs, Alexander Zhang
  • ONNX Tools: Polygraphy and ONNX-GraphSurgeon - NVIDIA, Pranav Marathe
  • TI Deep Learning (TIDL) Execution Provider in ONNX Runtime - Texas Instruments, Anand Pathak
  • Onnx-mlir: an MLIR-based Compiler for ONNX Models - The Latest Status - IBM, Tung D. Le
  • PFVM - A Neural Network Compiler that uses ONNX as its intermediate representation - Preferred Networks, Zijian Xu
  • Bring the power of ONNX to Spark as it never happened before - Huawei, Xiyuan Wang, Yikun Jiang, Zhipeng Huang
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