While AI is now commonplace for standard types of data, such as structured, sequential and image data, the application of AI is severly curtailed for other more complex forms of data. These more complex datasets typical exhibit non-trivial geometry.

The field of geometric AI, or geometric deep learning, has emerged to extend the remarkable benefits of AI to these more complex — geometric — datasets

We’ve published yet another article in Towards Data Science providing a more accessible entry into our research, explaining how we are working towards helping to democratize geometric AI, in particular for spherical 360° data.

To learn more please see the full article on Towards Data Science.