Merge pull request #86980 from Aniththa/patch-11

Update concept-automated-ml.md

Author: PRMerger7

articles/machine-learning/service/concept-automated-ml.md

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 # What is automated machine learning?
 
-Automated machine learning, also referred to as autoML, is the process of automating the time consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.
+Automated machine learning, also referred to as autoML, is the process of automating the time consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality. Automated ML is based on a breakthrough from our [Microsoft Research division](https://arxiv.org/abs/1705.05355).
 
 Traditional machine learning model development is resource-intensive, requiring significant domain knowledge and time to produce and compare dozens of models. Apply automated ML when you want Azure Machine Learning to train and tune a model for you using the target metric you specify. The service then iterates through ML algorithms paired with feature selections, where each iteration produces a model with a training score. The higher the score, the better the model is considered to "fit" your data.