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AI and Science Day

  • University of Minnesota Twin Cities
  • University of Southern California

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The past decade has been an inspiring time for artificial intelligence (AI) research. AI systems have transformed norms and practices across industries and have permeated the fabric of human society. Moreover, AI is ushering in a transformative technological age by making remarkable breakthroughs in a number of scientific fields such as protein structure prediction and medical imaging. There is increasing consensus in the wider scientific community that AI is poised to disrupt science by unlocking entirely new approaches, driving new scientific inquiry, and enabling greater scientific leaps with far-reaching social consequences. However, there are substantial barriers preventing science from realizing that potential, and addressing these barriers will require support for advances in AI methods and the adoption of these methods in routine scientific research. In this special day at KDD 2025, we host a series of talks by distinguished researchers on AI for science.

Original languageEnglish
Title of host publicationKDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PublisherAssociation for Computing Machinery
Pages6261
Number of pages1
ISBN (Electronic)9798400714542
DOIs
StatePublished - Aug 3 2025
Event31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 - Toronto, Canada
Duration: Aug 3 2025 → Aug 7 2025

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volume2
ISSN (Print)2154-817X

Conference

Conference31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
Country/TerritoryCanada
CityToronto
Period08/3/25 → 08/7/25

Keywords

  • ai for science
  • knowledge discovery
  • machine learning

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