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TL;DR 134 — November 8th, 2018

G Suite Developer Hub

The G Suite Developer Hub is now available. It provides a single view of your projects, helping you create new automation scripts, view shared projects, and check on service statuses. For more details and screenshots, head on over to the post.

Node.js 10 available for App Engine

Node.js 10 is now available in beta on App Engine standard environment and it’s now the default version on the flexible environment. For more about Node.js on App Engine, take a look at the post.

BERT: State-of-the-Art Pre-training for Natural Language Processing

We recently open sourced a new technique for Natural Language Processing pre-training called Bidirectional Encoder Representations from Transformers, or BERT. With it, you can train your own state-of-the-art question answering system in about 30 minutes on a single Cloud TPU, or in a few hours using a single GPU. As usual, the post goes into some depth and has a link to the paper.

AdaNet: Fast and Flexible AutoML with Learning Guarantees

We recently introduced AdaNet, a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on our recent reinforcement learning and evolutionary-based AutoML efforts to be fast and flexible while providing learning guarantees. Definitions, details, and a link to the GitHub are all on the post.

Google at EMNLP 2018

The annual conference on Empirical Methods in Natural Language Processing was held last week in Brussels. Google had a strong presence with several of our researchers presenting on a diverse set of topics, including language identification, segmentation, semantic parsing, and question answering. For links to these papers and the new datasets we shared, head on over to the post.

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