Computer Vision News - January 2017

Computer Vision News lists some of the great stories that we have just found somewhere else. We share them with you, adding a short comment. Enjoy! Reddit post: Code Implementations for NIPS 2016 papers A long list of available code repos for the NIPS 2016's top papers. More links are still being added in the comments. List Computer Vision News Spotlight News 40 What 17 Microsoft researchers expect in 2017 and 2027 Microsoft’s blog published the answers of 17 women within Microsoft’s global research organization who were asked to tell what they think will happen in their fields in 2017 and 10 years later. Many great insights. Read… AI Valley - Top AI news and resources every day A new resource by Martin Minchev: a search engine on multiple types of Artificial Intelligence , Machine Learning, Deep Learning, Neuro-Linguistic Programming, Computer Vision and Data Science. 674 resources are already listed and a AI newsletter is published daily. Link DeepLearning.TV - Educational videos on YouTube This lovely YouTube channel published a series of 37 videos that simplify Deep Learning , featuring topics such as How To’s, reviews of software libraries and applications, interviews with key professionals in the field and more. It makes Deep Learning simpler than you think. Watch… The major advancements in Deep Learning in 2016 If the title of this article sounds ambitious, its content did not disappoint us. This blog post identifies in unsupervised learning the main challenge to deep learning researchers. The quest to close the gap with supervised learning has prompted a vast amount of work on Generative Models . If you do not yet understand the concept of Generative Adversarial Networks ( GANs ), don’t miss this blog. Read… The first research paper ever from the Apple AI team! Learning from Simulated and Unsupervised Images through Adversarial Training. Read… Applying quantitative microscopy to live cells An interview with Peter Banks, Scientific Director of BioTek Instruments Inc. Even though it is part of a sponsored article, the content is stimulating: it offers insights on technology advancements, in particular in the field of quantitative microscopy and related machinery. Read… 50 things Andreas Stuhlmüller learned at NIPS 2016 Great post from Andreas , covering many technical topics and a few curiosities. Read…