Findings
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[1] 2026-09-24 Accelerate Your AI Journey with new Introduction Track at PyTorch Conference NA 2026 and PyTorch Associate Training
As deep learning models move rapidly from research prototypes into core enterprise infrastructure, the demand for practical, end-to-end PyTorch expertise has never been higher. Building robust neural networks requires more than just high-level understanding. It demands hands-on experience in training,… Meet your Instructor Faradawn Yang is an engineer on the AI platform software team at NVIDIA, where he focuses on AI inference products. Faradawn holds a master’s degree in computer science and a bachelor’s degree in mathematics and computer science…
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[2] 2026-09-23 From Research Project to Open Source Ecosystem: Bring Your Academic PyTorch Project to PyTorchCon NA
Some of the most interesting work being built with PyTorch starts in universities, research labs, student groups, and academic institutions. A new model architecture. A library created to support a paper. A benchmarking framework. A research tool that solves a… 2. Maintainer & Industry Open Source AI Leader Office Hours After the lightning talks, we move from show-and-tell to show-and-build. Project teams will work with maintainers, PyTorch ecosystem contributors, professionals who lead and support open source ecosystems within companies and…
Where Kimbodo Comes In
Kimbodo builds and operates this in production for businesses — see our Posit & Shiny Development practice, or Estimate My Shiny Project.
