Deep Hunt — Issue #57

An exciting week it was — here are the highlights! Google’s new AI predicts heart disease by looking at your eyes, Deep Learning for Biology, An Outsider’s perspective on Reinforcement Learning, A Closed-form Solution to Photorealistic Image Stylization

Avinash Hindupur
Deep Hunt
4 min readFeb 26, 2018

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News

Google’s new AI algorithm predicts heart disease by looking at your eyes

Google is proving more and more medical diagnoses can be done using machine learning. Its latest looks at cardiovascular risk, but experts say it needs further tests before it can be used in real life.

The one on the left is a regular image; the on the right shows how Google’s algorithm picks out blood vessels (in green) to predict blood pressure.

Introducing the Uber AI Residency

Interested in accelerating your career by tackling some of Uber’s most challenging AI problems? Apply for the Uber AI Residency, a research fellowship dedicated to fostering the next generation of AI talent.

Articles

Deep learning for biology

A popular artificial-intelligence method provides a powerful tool for surveying and classifying biological data. But for the uninitiated, the technology poses significant difficulties.

The GANfather: The man who’s given machines the gift of imagination

By pitting neural networks against one another, Ian Goodfellow has created a powerful AI tool. Now he, and the rest of us, must face the consequences.
PS: Deep Hunt got an anonymous mention for GAN Zoo!

Tutorials, Tools and Tips

JupyterLab is Ready for Users

Everyone would have heard about the aweome Jupyter Notebooks. Here’s the beta release series of JupyterLab, the next-generation web-based interface for Project Jupyter. Check out and let us know what you think about it!

DeepPavlov

DeepPavlov is an open source library for building end-to-end dialog systems and training chatbots built on Tensorflow and Keras.

An Outsider’s Tour of Reinforcement Learning

Here’s a super cool 7 post series on Reinforcement Learning recommended for anyone who wants to read something that is light on too many technical details

Research

The Malicious Use of Artificial Intelligence — Forecasting, Prevention and Mitigation

A much-needed study on trying to hold algorithms accountable — Malicious AI report is written by 26 authors spread over 14 institutions across the world, including OpenAI, FHIOxford, CSERCambridge among others.

A startling progress of GAN generated images in just 4 years!

A Closed-form Solution to Photorealistic Image Stylization

This work from NVIDIA explores the very popular style transfer — given a sample and target photo, the algorithm transfers style 60 times faster than the state of art! The code is on Github if you want to see the implementation and try out yourself.

Neural Voice Cloning with a Few Samples

Baidu’s latest research — a neural network based system learned to clone a voice with less than a minute’s audio data! Dig deeper into the paper directly to know more

If you like what you are reading, please follow and recommend to your friends or give a shoutout on Twitter! I’m glad to hear your suggestions and recommendations @deephunt_in or in comments below!

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Avinash Hindupur
Deep Hunt

Dreamer, @iitguwahati alum. Creator of @deephunt_in, Organiser @ DeepLearningDelhi | Interested in all things data and machine learning.