The Laboratory for Geometric Algebra and Applications was established in July 2024. The main goal of the laboratory is to develop new algebraic, geometric, and computational methods related to geometric algebras (Clifford algebras), and to apply these methods in geometry, physics, computer science, machine learning, economics, engineering, and other sciences.
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June 24
Dmitry Shirokov presented a talk 'On Conformal Geometric Algebra and its Applications in Geometric Computations'.
June 21
E. Filimoshina presented a talk at the MTML Lab seminar at the Faculty of Computer Science.
June 13
E. Filimoshina presented a talk on 'Equivariant Neural Networks Based on Geometric Algebras' at a scientific seminar held by the School of Data Analysis and Artificial Intelligence.