Additional resource can be found via the following links: General Electric Digital Twins: https://www.ge.com/digital/predix/digital-twin Predix Digital Twins: https://www.slideshare.net/predixdevelopers/predix-transform-2016-e1-building-the-digital-twin-64632276 The fall of RNN/LSTM: https://towardsdatascience.com/the-fall-of-rnn-lstm-2d1594c74ce0 Keras LSTM Tutorial: http://adventuresinmachinelearning.com/keras-lstm-tutorial/ Defining a Digital Twin Platform: https://medium.com/@iskerrett/defining-a-digital-twin-platform-de67586623de IBM Watson Digital Twins: https://www.ibm.com/internet-of-things/spotlight/digital-twin Microsoft Digital Twins: https://enterprise.microsoft.com/en-us/trends/microsoft-is-redefining-digital-twins-in-discrete-manufacturing/ ...