Editor's Pick

Learning to Run approach

The trained skeleton has a cheerful gait: an entry to the “Learning to Run” competition, by modeling muscle excitations for hamstrings, biceps femoris, gluteus maximus, & others.
Competition: https://www.crowdai.org/challenges/nips--learning-to-run

medium.com

Featured

Future of Employment, Jobs, and Automation Survey

What jobs and can actually automate? A new initiative from the University of Oxford is inviting you to answer this question – creating a new database of automatability predictions. You might recognize the researchers as Frey & Osborne, whose 2013 paper ignited the recent discussion on automation.

ox.ac.uk

News & Articles

City of Toronto begins sharing data with popular traffic app Waze

The city of Toronto has begun -sharing with traffic app Waze in order to reduce congestion. Traffic congestion authorities and apps throughout are beginning to team up.

cp24.com

Adobe's Scribbler AI Automatically Colorizes Any Portrait

engadget.com

Papers & Tutorials

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

Computer Vision paper from Apple: 3D bounding boxes in 3D point clouds. Similar to our FusionNet paper, but with bounding boxes. Operates on the raw point . Looking forward to more Machine Learning papers from Apple.

arxiv.org

Reparameterizing the Birkhoff Polytope for Variational Permutation Inference

arxiv.org

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Imposing custom emotions and facial characteristics on faces using Generative Adversarial Networks. Can make input faces angry, contemptuous, disgusted, fearful, happy, sad, surprised, or even change gender.
Code: https://t.co/DPMcUySKex

arxiv.org

Video

How does the brain learn so much so quickly?

Yann LeCun keynote at the first Cognitive and Computational Neuroscience conference at Columbia University on September 6, 2017.

youtube.com

CCN 2017 Videos

Videos from Cognitive Computational Neuroscience (CCN) 2017

ccneuro.org

Podcast

The Pace of Change and The Public View of ML

Talk with Peter Donnelly in his capacity with the Royal Society’s Machine Learning Working Group about the work they’ve done on the public’s views on AI and ML.

thetalkingmachines.com


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