add communities

README.md

@@ -137,7 +137,7 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont
     - [ONNX.js Demo](https://github.com/microsoft/onnxjs-demo) - demos for ONNX.js.
     - [Olive](https://github.com/microsoft/OLive) - a sequence of docker images that automates the process of ONNX model shipping.
 - [Hummingbird](https://github.com/microsoft/hummingbird) - compile trained ml model into tensor computation for faster inference.
-- [EdgeML](https://github.com/microsoft/EdgeML) -
+- [EdgeML](https://github.com/microsoft/EdgeML) - provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
 - [DirectML](https://github.com/microsoft/DirectML) - high-performance, hardware-accelerated DirectX 12 library for machine learning.
 - [MMdnn](https://github.com/microsoft/MMdnn) - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization.
 - [inifinibatch](https://github.com/microsoft/infinibatch) - Efficient, check-pointed data loading for deep learning with massive data sets.
@@ -241,7 +241,12 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont
 - [Microsoft Health Intelligence Machine Learning Toolbox](https://github.com/microsoft/hi-ml) - Microsoft Health Intelligence Azure Machine Learning Toolbox.
 - [MLOps Solution Accelerator](https://github.com/microsoft/dstoolkit-mlops-base) - this repository helps ML teams to accelerate their model deployment to production leveraging Azure.
 - [Anomaly Detection Solution Accelerator](https://github.com/microsoft/dstoolkit-anomaly-detection-ijungle) -  implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.
+
+### Community
+- [AI@Edge Community](https://microsoft.github.io/ai-at-edge/) - find the resources you need to create solutions using intelligence at the edge through combinations of hardware, machine learning (ML), artificial intelligence (AI) and Microsoft Azure service.
+- [Global AI Community](https://globalai.community/) -  empowers developers who are passionate about AI to share knowledge through events and meetups. 
 ### Workshop
+- [Deep Learning Lab (Japan)](https://dllab.connpass.com/) - provides information on development cases and the latest technology trends related to deep learning.
 
 :runner: coming soon