Bits & Bytes

Google announces TensorFlow 2.0 Alpha, TensorFlow Federated, TensorFlow Privacy.

  • At the 3rd annual TensorFlow Developer Summit, Google announced the first alpha release of TensorFlow 2.0 and several other new releases such as: TensorFlow Federated – a new open-source framework that allows developers to use all the ML-training features from TF while keeping the data local; TensorFlow Privacy – which uses differential privacy to process data in a private manner; extensions to TensorFlow Extended (TFX), a platform for end-to-end machine learning; and Activation Atlases – which attempts to visualize and explain how neural networks process images.

Google open sources GPipe, a library for parallel training of large-scale neural networks.

  • GPipe, which is based on the Lingvo (a TensorFlow framework for sequence modeling), is applicable to any network consisting of multiple sequential layers and allows researchers to “easily” scale performance. [Paper]

Facebook AI researchers create a text-based adventure to study how AI speak and act.

  • Researchers from Facebook and University College London specifically investigated the impact of grounding dialogue – a collection of mutual knowledge, beliefs, and assumptions essential for communication between two people–on AI agents.

Google announces Coral platform for building IoT hardware with on-device AI.

  • Coral targets developers creating IoT hardware from prototyping to production. It is powered by a TPU that is specifically designed to run at the edge and is available in beta.

Google and DeepMind are using AI to predict the energy output of wind farms.

  • Google announced that it has made energy produced by wind farms more viable using DeepMind’s ML algorithms to better predict the wind output.

Ben-Gurion U. develops new AI platform for ALS care.

  • Researchers at Ben-Gurion University have used ML models to develop a new method of monitoring and predicting the progression of neurodegenerative and help identify markers for personalized patient care and improve drug development.

Google rolls out AI grammar checker for G Suite users.

  • Google applies ML techniques to understand complex grammar rules and identify “tricky” grammatical errors by G Suite users.

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