NASA在打造登陸木星(Jupiter) 的登陸艇時，也透過AWS的M

NASA在打造登陸木星(Jupiter) 的登陸艇時，也透過AWS的ML 服務，讓原本非常耗時且耗資的過程，減少時問與金錢成本。Minnick指出，登陸艇建置需要透過模型及打造原型機，在NASA找 AutoDesk及AWS合作後，開陸艇的時問與金錢，都較傳統模式大幅縮減。

結果 (英文) 1:

NASA to build upon landing Jupiter (Jupiter) landing craft, but also through the ML AWS services that give a very time-consuming and costly process, and asked the cost reduction and money. Minnick pointed out, build landing craft needed to build the prototype model and through, and after looking for AutoDesk AWS cooperation in NASA, when asked to open land and boat and money, are substantially reduced compared to the traditional model.

結果 (英文) 2:

NASA's landing craft, which landed in Jupiter, also used AWS's ML service to reduce the cost of time and money through AWS's ML service. Minnick points out that landing craft construction requires modelling and prototypes, and that when NASA finds AutoDesk and AWS to work with, the asking and money for the craft are much smaller than the traditional model.

結果 (英文) 3:

When building the landing craft of Jupiter, NASA also uses the ML service of AWS to reduce the time and money cost. Minnick pointed out that the building of landing craft needs to use the model and build the prototype. After NASA found the cooperation of Autodesk and AWS, the time and money of launching the land craft are greatly reduced compared with the traditional mode.