Huawei and Intel hype up AI hardware, TensorFlow tidbits, and more

Here's a short list of what's been happening so far since the Christmas and New Year break. TensorFlow updates: Google has released new code for developers interested in training machine learning models more privately as well as a sneak peak of TensorFlow 2.0. TensorFlow Privacy is a Python library that contains TensorFlow algorithms to train models with differential privacy for anonymizing data sets. It's good for handling sensitive data like medical records, where you want to scrub the data of any characteristics that could potentially identify a patient. Next, is the preview of the upcoming TensorFlow 2.0 updates.