Accelerating linear algebra with graph neural networks
We’re pioneering the use of graph neural networks as a computational primitive for solving matrix problems.
We’re pioneering the use of graph neural networks as a computational primitive for solving matrix problems.
We’re building an autonomous battery laboratory that combines robotics and AI into a closed-loop system for rapid experimentation and exploration.
Our open-source library for numerical optimization of diffusion MRI experiments enables cutting-edge imaging technology on clinical scanners.
Radiotherapy planning is complex and time consuming. We’ve made dozens of inventions, primarily based on machine learning and optimization, that can guide or automate parts of the radiotherapy workflow.
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
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Published:
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Workshop, University 1, Department, 2015
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Master's course, Uppsala University, Department, 2020
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