Shorten organization card

README.md

@@ -15,17 +15,10 @@ pinned: false
 
 </div>
 
-We develop principled AI methods to solve hard problems in the natural sciences.
-Our research combines fundamental algorithms with machine learning for complex,
-spatially structured data.
-
-Our current focus is geometric machine learning for quantum chemistry. We build
-symmetry-aware methods for predicting electronic structure and learning density
-functionals, with the goal of accelerating quantum-mechanical simulations and
-enabling the exploration of chemical space.
-
-Our research also builds on longstanding expertise in image analysis, graph
-partitioning, representation learning, and scientific machine learning.
+We are the Hamprecht Lab at IWR, Heidelberg University. We develop principled
+machine-learning methods for spatially structured scientific problems, with a
+current focus on geometric machine learning for quantum chemistry. Our expertise
+also spans image analysis, graph partitioning, and representation learning.
 
 [Website](https://sciai-lab.org/) ·
 [Projects](https://sciai-lab.org/projects/) ·