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 language | English (US) |
|---|---|
| Title of host publication | KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining |
| Publisher | Association for Computing Machinery |
| Pages | 6261 |
| Number of pages | 1 |
| ISBN (Electronic) | 9798400714542 |
| DOIs | |
| State | Published - Aug 3 2025 |
| Event | 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 - Toronto, Canada Duration: Aug 3 2025 → Aug 7 2025 |
Publication series
| Name | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
|---|---|
| Volume | 2 |
| ISSN (Print) | 2154-817X |
Conference
| Conference | 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 8/3/25 → 8/7/25 |
Bibliographical note
Publisher Copyright:© 2025 Owner/Author.
Keywords
- ai for science
- knowledge discovery
- machine learning
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