Deep Hunt — Issue #60

Here are the highlights from an eventful week — Germany plans 3 billion euros in AI investment; How to Teach Artificial Intelligence Some Common Sense; Google open sources BigGAN generators; ImageNet/ResNet-50 Training in 224 Seconds

News

Germany plans 3 billion in AI investment

German govt wants to promote the use of AI applications in business within a framework that protects fundamental social values and individual rights and are planning to invest 3 billion euros!

Germany plans 3 billion in AI investment: government paper

Standard Cognition raises $40M to replace retailers’ cashiers with cameras

Just an year old, Standard Cognition competes with Amazon Go in making the shopping experience seamless. Unlike Amazon Go, they deploy overhead cameras that identify you by shape and movement, not facial recognition.

Standard Cognition raises $40M to replace retailers' cashiers with cameras

Articles

How to Teach Artificial Intelligence Some Common Sense

This WIRED article explores the current limits, and current power of deep learning and the challenges of making AI truly able to reason.

How to Teach Artificial Intelligence Some Common Sense

These Animated AI Bots Learned to Dress Themselves, Awkwardly

A study by researchers at Georgia Institute of Technology shows creating systems that can perform more mundane tasks — such as dressing themselves — is proving to be an enormous challenge as well.

These Animated AI Bots Learned to Dress Themselves, Awkwardly

Tutorials, Tools and Tips

Heads-up for Deploying Scikit-learn Models to Production: Quick Checklist

This is a quick checklist of important things one needs to keep in mind while pushing your scikit-learn models into production.

Heads-up for Deploying Scikit-learn Models to Production: Quick Checklist

Key Papers in Deep RL

Here’s a list of papers in Deep Reinforcement Learning curated by the folks at OpenAI. It’s a great resource for someone looking to get started and it’s a lot of reading!

Key Papers in Deep RL - Spinning Up documentation

Large Scale GAN Training for High Fidelity Natural Image Synthesis

DeepMind has opensourced the BigGAN generators on TFHub. Dig in to explore the world of most impressive GAN samples generated yet.

[1809.11096] Large Scale GAN Training for High Fidelity Natural Image Synthesis

Research

Gradient Descent Finds Global Minima of Deep Neural Networks

This research work has generated a lot of conversation among the researchers. The current paper proves gradient descent achieves zero training loss in polynomial time for a deep over-parameterized neural network with residual connections (ResNet).

[1811.03804] Gradient Descent Finds Global Minima of Deep Neural Networks

ImageNet/ResNet-50 Training in 224 Seconds

By applying a two techniques - batch size control and 2D-Torus all-reduce this paper claims to have successfully trained ImageNet/ResNet-50 in 224 seconds without significant accuracy loss on ABCI cluster!

[1811.05233] ImageNet/ResNet-50 Training in 224 Seconds

A quick summary of the progress made over the years

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!