| dc.date.accessioned | 2020-10-19T18:50:45Z | |
| dc.date.available | 2020-10-19T18:50:45Z | |
| dc.date.issued | 2018-06-08 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/128115 | |
| dc.description.abstract | Wind causes significant problems for aviation, yet the Federal Aviation Administration has limited tools for forecasting its impact. MIT Lincoln Laboratory is developing technology to generate improved wind forecasts through the use of data fusion and machine learning. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | MIT Lincoln Laboratory | en_US |
| dc.relation.ispartofseries | The Bulletin; | |
| dc.rights | Attribution-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
| dc.subject | Lincoln Laboratory | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Supercomputing | en_US |
| dc.subject | LLSC | en_US |
| dc.title | Winds Forecast Rapid Prototype | en_US |
| dc.type | Article | en_US |
