What question did this study set out to answer?

The aim is to present a collection of the abstracts from the SCML-2026 conference, focusing on recent advancements in the field.

June 20, 2026Open Access

SCML-2026: International Conference on Symbolic Computation and Machine Learning - Extended Abstracts

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Conference abstracts feature invited and contributed talks on symbolic computation and machine learning, highlighting recent advancements.

The aim is to present a collection of the abstracts from the SCML-2026 conference, focusing on recent advancements in the field.
Collection of abstracts from invited and contributed talks
Focus on symbolic computation and machine learning topics
Showcases diverse topics discussed at the conference
Highlights key advancements in symbolic computation and machine learning

Buchberger et al. (2026) studied this question.

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Conference abstracts feature invited and contributed talks on symbolic computation and machine learning, highlighting recent advancements.