AI Meets Chemistry

Abstract

We argue that chemistry should be the next grand challenge for Artificial Intelligence. The AI research community and humanity would benefit tremendously from focusing AI re- search on chemistry on a regular basis, as a benchmark as well as a real-world application domain. To support our position, we review the importance of chemical compound discovery and synthesis planning and discuss the properties of search spaces in a chemistry problem. Knowledge acquired in domains such as two-player board games or single-player puzzles places the AI community in a good position to solve critical problems in the chemistry domain. Yet, we show that searching in chemistry problems poses significant additional challenges that will have to be addressed. Finally, we envision how several AI areas like Natural Language Processing, Machine Learning, planning and search, are relevant for chemistry.

Cite

Text

Kishimoto et al. "AI Meets Chemistry." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12216

Markdown

[Kishimoto et al. "AI Meets Chemistry." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/kishimoto2018aaai-ai/) doi:10.1609/AAAI.V32I1.12216

BibTeX

@inproceedings{kishimoto2018aaai-ai,
  title     = {{AI Meets Chemistry}},
  author    = {Kishimoto, Akihiro and Buesser, Beat and Botea, Adi},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {7978-7982},
  doi       = {10.1609/AAAI.V32I1.12216},
  url       = {https://mlanthology.org/aaai/2018/kishimoto2018aaai-ai/}
}