AI Weekly: Google's federated learning gets its day in the sun

A lot of news made headlines this week at the third annual TensorFlow Dev Summit. New versions of TensorFlow, including TensorFlow 2.0 with tf.keras as a central API and TensorFlow Lite 1.0 for mobile devices, were released, as was a $150 Coral board for edge TPU applications. Speed optimization for AI on mobile devices and a cleanup of TensorFlow's cluttered APIs is more than cosmetic -- these changes will shape how developers and businesses train AI systems. But the news that caught my eye was the release of TensorFlow for federated learning. TensorFlow Federated will provide distributed machine learning for developers to train models across many mobile devices without data ever leaving those devices.