| dc.contributor.author | Gordon, Rachel | |
| dc.date.accessioned | 2024-11-25T14:44:45Z | |
| dc.date.available | 2024-11-25T14:44:45Z | |
| dc.date.issued | 2024-10-02 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/157668 | |
| dc.description.abstract | MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy. | en_US |
| dc.description.sponsorship | This material is based upon work supported by the United States Air Force under Air Force Contract No. FA8702-15-D-0001. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | MIT News | en_US |
| dc.subject | MIT CSAIL | en_US |
| dc.subject | LLSC | en_US |
| dc.subject | AI | en_US |
| dc.title | How AI is improving simulations with smarter sampling techniques | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | https://news.mit.edu/2024/how-ai-improving-simulations-smarter-sampling-techniques-1002 | en_US |
