This Week in Machine Learning: Robots, Machine Translation of Brain and More

Posted April 6, 2020

The spring vibe can be felt in the air. And even though we’re all stuck at home due to the coronavirus pandemic, let’s not waste the spring positivity but treat ourselves with new things.

Here goes a dose of the latest news, discoveries, and inspiring stories from the world of Machine Learning. There is something for everyone. Enjoy your read!

Weekly Roundup: March 30th – April 5th

> blog – make sure to visit our blog to find out interesting and in-depth articles on machine learning.

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Exploring Nature-Inspired Robot Agility by Xue Bin (Jason) Peng, Student Researcher and Sehoon Ha, Research Scientist, Robotics at Google, Google AI Blog | April 3

The authors present a framework that takes a reference motion clip recorded from an animal (a dog, in this case) and uses RL to train a control policy that enables a robot to imitate the motion in the real world.

Machine translation of cortical activity to text with an encoder–decoder framework by Makin, J.G., Moses, D.A. & Chang, E.F. on Nature Neuroscience journal | April 1

The authors of the study show how to decode the electrocorticogram with high accuracy and at natural-speech rates. Taking a cue from recent advances in machine translation, they train a recurrent neural network to encode each sentence-length sequence of neural activity into an abstract representation, and then to decode this representation, word by word, into an English sentence.

In other words: AI systems can translate our brain activity into fully formed text, without hearing a single word uttered.
Here’s the article summarizing the study: New AI System Translates Human Brain Signals Into Text With Up to 97% Accuracy by Peter Dockrill | April 1

> Should you really use machine learning for that? by Caleb Kaiser on Towards Data Science | April 1

A checklist for deciding to use applied machine learning. 

> New Ways To Optimize Machine Learning by Bryon Moyer | April 2

A quick read on the different approaches for improving performance and lowering power in ML systems.

> KDnuggets™ News of the week with top stories and tweets of the past week, plus opinions, tutorials, events, webinars, meetings, and jobs.

> Old but gold, the reliable Reddit thread on ML for more news on machine learning

That’s all folks! I hope you found something of interest in this weekly roundup. Don’t forget to check our blog for more inspiring articles.

👉 Came across an interesting ML article? Or maybe you wrote one yourself and would like to share it with other people? Let us know, we’ll spread the news in our weekly roundup!

Paweł Kijko