We’re updating our online presence as we continue to focus on broad uses of our geometric AI tech. As part of this we’ve renamed our social media accounts from Kagenova to CopernicAI. We’ll be posting all our latest generative AI updates and releases on CopernicAI.com.
In our latest TDS article we describe how to break the dichotomy between continuous and discrete approaches, through a hybrid discrete-continuous (DISCO) method that provides both excellent performance and high computational scalability.
towardsdatascience.com/hybrid-discret…
We now have the building blocks needed to realise the next wave of open generative AI for geometries like the sphere and 3D more generally. To focus on generative AI, CopernicAI has become its own thing, with its own online presence. #GenerativeAIkagenova.com/blog/tech/2023…
We’ve just released Scene360 for scene classification of 360° images. Usage is currently free so you’re just one button click away from deploying the model on AWS and classifying 360° images within your own apps or pipelines. #360photos#machinelearningkagenova.com/blog/products/…
We recently published another article in Towards Data Science to provide a more accessible entry into our research. In this article we overview our research on scattering networks on the sphere to scale spherical deep learning to high-resolution input data
towardsdatascience.com/scaling-spheri…
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. #DataSciencetowardsdatascience.com/democratizing-…
We recently published another article in Towards Data Science to provide a more accessible entry into our research.
In this latest article we provide a gentle introduction to geometric deep learning, focusing on high level concepts.
towardsdatascience.com/a-brief-introd…