Partners in DesignSource: Mechanical Engineering:;2021:;volume( 143 ):;issue: 002::page 34Author:Sukel, Kayt
DOI: 10.1115/1.2021-MAR2Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: New artificial intelligence and machine learning applications are found in many popular CAD platforms today and will be even more capable in the near future. As AI/ML solutions become more pervasive in different areas of the mechanical engineering arena, many design engineers are asking how these new tools will change the engineering profession.
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| contributor author | Sukel, Kayt | |
| date accessioned | 2022-02-05T21:48:55Z | |
| date available | 2022-02-05T21:48:55Z | |
| date copyright | 3/3/2021 12:00:00 AM | |
| date issued | 2021 | |
| identifier issn | 0025-6501 | |
| identifier other | me-2021-mar2.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4276393 | |
| description abstract | New artificial intelligence and machine learning applications are found in many popular CAD platforms today and will be even more capable in the near future. As AI/ML solutions become more pervasive in different areas of the mechanical engineering arena, many design engineers are asking how these new tools will change the engineering profession. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Partners in Design | |
| type | Journal Paper | |
| journal volume | 143 | |
| journal issue | 2 | |
| journal title | Mechanical Engineering | |
| identifier doi | 10.1115/1.2021-MAR2 | |
| journal fristpage | 34 | |
| journal lastpage | 34-6 | |
| page | 6 | |
| tree | Mechanical Engineering:;2021:;volume( 143 ):;issue: 002 | |
| contenttype | Fulltext |