These fields are booming these days. In order not to become rusty, one has to constantly follow the updates. Here is the essential guide on how to keep up with the important news/papers/discussions/tutorials. This guide is by no means an exhaustive one so contributions are truly welcome. I believe you have a lot to add!
Temporary description: From my personal experience, due to multiple reasons, there are various local communities(e.g. per country). I would simply not dare to include links for those that I am not competent in. Eventually, the table below might look smth like this(just an idea). Please update the table with verified links. I got flags from here.
| Country | Links |
|---|---|
 Azerbaijan |
Azerbaijan Data Science Society |
 Germany |
ML-KA (Karlsruhe) Machine Learning Munich |
 India |
IDLI: Indian Deep Learning Initiative |
 South Korea |
AI Korea (Deep Learning) TensorFlow KR PyTorch KR |
 Ukraine |
Ukrainian Artificial Intelligence Community |
arXiv: open access to e-prints. Do not forget to install Fermat’s Library
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Learning
- Neural and Evolutionary Computing
Arxiv Sanity: beautiful interface plus other features for interacting with arXiv
ShortScience: post-publication discussion
GitXiv: space to share collaborative projects
HackerNews (I wish there is an option to filter out posts of interest)
DataTau: HackerNews for data scientists
AITopics: collection of info about research, people, and applications of AI
Youtube channels. Do not forget to install playback speed control to optimize your time
Usually, important news is disseminated pretty fast on Twitter and often shared by many. Here are some of the publically available lists(in no particular order) by well-established Tweeters: