There’s a lot going on with AI at Autodesk, these days: most of our engineering teams have developers who are exploring the potential for AI with respect to product features.
For instance, the AutoCAD team has developed and released a number of features driven by machine learning: AutoCAD 2023’s Markup Assist and My Insights features – the latter with its cool Macro Advisor capability – are all powered by ML. I’m less familiar with ML-powered features in Revit and Fusion 360, but I know they have teams focusing on exploring the benefits ML might bring to their users.
All this to say that there’s a lot going on in AI/ML these days in the company, and not just in direct connection with our products: at Autodesk Research we have our own “AI Lab” that is headed up by Tonya Custis, our Director of AI Research. A few weeks ago, Tonya posted an article about some of the projects her team have contributed to that had papers accepted at this year’s Computer Vision and Pattern Recognition conference (CVPR 2022).
If you’re interested in AI – and what Autodesk is doing with it – then I suggest checking the post out.
The field of AI is evolving rapidly, even in the context of 3D geometry – with recent surprising advances in diffusion models and neural radiance fields – so I think it’s very important that this cutting-edge research continues.