Google Data center cooling by a ML model

Blog - https://deepmind.com/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-40/

Paper - https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/42542.pdf

In short, this paper tells us about how they take 19 parameters involving configuration and performance data like equipment

setpoints and predicts PUE ( Power Usage Effectiveness ).

SSD - Single Shot Multibox detector

Blog - https://medium.com/towards-data-science/building-a-real-time-object-recognition-app-with-tensorflow-and-opencv-b7a2b4ebdc32

Paper - https://arxiv.org/pdf/1512.02325.pdf

Mostly for embedded systems ( mobile )

It builds on top of VGG-16, adding some layers to reduce the size further unlike YOLO.

Inception Model

Google paper - https://arxiv.org/abs/1512.00567