I think it would be interesting to share articles/blogs/etc. that describe Deep Learning models/architectures that are used in the industry.
For example, the Andrej Karphaty (Tesla) talk at Pytorch Devcon: https://www.youtube.com/watch?v=oBklltKXtDE
With the Deep Learning revolution it seems to me that the vast majority of Computer Vision researchers and workers switched from 3D Computer Vision tasks to 2D topics such as Object Recognition. However, in the Robotics and AR/VR fields, classic stuff such as Stereo Vision, SLAM etc. is still relevant and I always see these skills listed in the job requirements for companies of the aforementioned fields. What is your opinion?