DANGER: Data, Numbers, and Geometry
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Topic : Mathematics and Statistics; Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning
Mathematics and Statistics; Keywords: Analysis, Geometry, Mathematics, Number Theory
Description :
DANGER is a conference at the forefront of data science for mathematics, bringing together leading academics in mathematics to discuss and share how AI methods can accelerate their research, and be used to uncover new connections and conjectures. With a focus on number theory and geometry, datasets like sequences of numbers, or lists of shapes can be quickly generated in bulk and fed into these advanced algorithms for analysis. DANGER aims to foster new collaborations across mathematical fields connected by data science, and motivate the responsible use of AI in research to advance the field.
Banff International Research Station for Mathematical Innovation and Discovery (BIRS) organises its event entitled DANGER: Data, Numbers, and Geometry to be held from 05 April 2026 to 10 April 2026 in Banff, Alberta, Canada. It covers various areas of Mathematics and Statistics including Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning. For more information, visit the website of the conference or contact the organizer.
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Conferences and seminars in Canada in 2026
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Conferences and seminars in Mathematics and Statistics in 2026
Conferences and seminars in Mathematics and Statistics in Canada
Conferences and seminars in Mathematics and Statistics in Canada in 2026
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