Merge pull request #207 from HITS-AIN/sebastian-tg-patch-2

Update README.md

README.md

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 # Spherinator & HiPSter
 
-`Spherinator` uses [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/) to implement a convolutional neural network (CNN) based variational autoencoder (VAE) with a spherical latent space.
-`HiPSter` creates the HiPS tilings and the catalog which can be visualized interactively on the surface of a sphere with [Aladin Lite](https://github.com/cds-astro/aladin-lite).
+`Spherinator` and `HiPSter` are tools to provide much needed explorative access and visualization for multimodal data from extremely large astrophysical datasets, ranging from exascale cosmological simulations to multi-billion object observational galaxy surveys. `Spherinator' uses dimensionality reduction to learn a low-dimensional representation of galaxy structure, and `HiPSter' creates a interactive hierarchical spherical vizualization of the entire dataset. They currently support multichannel maps or images as input. `Spherinator' uses [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/) to implement a convolutional neural network (CNN) based variational autoencoder (VAE) with a spherical latent space.
+`HiPSter` creates HiPS tilings and a catalog which can be visualized interactively on the surface of a sphere using [Aladin Lite](https://github.com/cds-astro/aladin-lite).
 
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   <img src="docs/assets/P404_f2.png" width="400" height="400">