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A Nature paper describes an artificial intelligence system that can predict acute kidney injury up to 48 hours before it occurs. The approach could help identify patients who are at risk and enable earlier treatment. go.nature.com/2GGkxWv

We've fine-tuned GPT-2 using human feedback for tasks such as summarizing articles, matching the preferences of human labelers (if not always our own). We're hoping this brings safety methods closer to machines learning values by talking with humans. openai.com/blog/fine-tuni…

As promised, here is the first super clean notebook showcasing TensorFlow 2.0. An example of end-to-end DL with interpretability. Cc: François Chollet Josh Gordon 👩‍💻 Paige Bailey colab.research.google.com/drive/1xM6UZ9O… PS: Wait for more!

Take a class on us! Enroll in our “Getting Started with AI on Jetson Nano” #NVDLI course today. We want to put the power of #AI in your hands. nvda.ws/2N2qZN9

An end-to-end tutorial showing how to deploy Keras models on Android via TFLite: medium.com/@margaretmz/e2…

I just wrote an extensive TensorFlow 2.0 + Keras overview, targeted at deep learning researchers: colab.research.google.com/drive/1UCJt8EY… Hope you will find it useful! Let me know if you have any feedback.

Stylize images with arbitrary styles in #TensorFlow. We released a model on #TFHub, try it out yourself in our new Colab! Details here → goo.gle/2oiDKaT

Google achieves state-of-the-art NLP performance with an enormous language model and data set | VentureBeat venturebeat.com/2019/10/24/goo…

Netflix open-sources Polynote to simplify data science and machine learning workflows | VentureBeat venturebeat.com/2019/10/23/net…

Slam Dunk Video Classification (Tensorflow 2.0 by Connor Shorten buff.ly/2JkKNat

The computing power needed to train AI is now rising seven times faster than ever before - MIT Technology Review technologyreview.com/s/614700/the-c…

New Keras feature: the TextVectorization layer. It takes as input strings and takes care of text standardization, tokenization, and vocabulary indexing. This enables you to create models that process raw strings. End-to-end text classification example: colab.research.google.com/drive/1RvCnR7h…

BodyPix 2.0 has been released, including multi-person segmentation support and a new live demo! To learn more, read the post by @tylerzhu3, danoved, Ann Yuan, Daniel Smilkov, Per Karlsson, Irene Alvarado, Nikhil Thorat. Details here → goo.gle/bodypix2

*New paper* RandAugment: a new data augmentation. Better & simpler than AutoAugment. Main idea is to select transformations at random, and tune their magnitude. It achieves 85.0% top-1 on ImageNet. Paper: arxiv.org/abs/1909.13719 Code: git.io/Jeopl

Ever wanted to combine the NLU superpowers of BERT with the generation superpowers of GPT-2? It's now possible in transformers thanks to Rémi 📎! medium.com/huggingface/en…

We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance. ai.facebook.com/blog/online-sp…

Facebook’s “radioactive data” tracks the images used to train an AI - via MIT Technology Review technologyreview.com/f/615150/faceb…

OpenAI debuts gigantic GPT-3 language model with 175 billion parameters | VentureBeat venturebeat.com/2020/05/29/ope…

Announcing the Real-World RL task suite, an #OpenSource set of benchmarks that highlight and encourage research on the core problems that limit the effectiveness of #ReinforcementLearning in applied systems. Learn more at: goo.gle/30StA1f

We are looking for a new #postdoc! Interested in #MachineLearning #AI and biomedical data? Background in CS, Math, or related field preferred. Please retweet and help us find an amazing candidate! #postdocjobs #academicjobs #compbio #singlecell Yale Computer Science Yale School of Medicine