diff --git a/README.md b/README.md
index 7b67efc1ce..e9c4cefc61 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a
* Researchers and data scientists who want to easily **implement and experiment new AutoML algorithms**, may it be: hyperparameter tuning algorithm, neural architect search algorithm or model compression algorithm.
* ML Platform owners who want to **support AutoML in their platform**.
-### **[NNI v1.5 has been released!](https://github.com/microsoft/nni/releases)
**
+### **[NNI v1.6 has been released!](https://github.com/microsoft/nni/releases)
**
## **NNI capabilities in a glance**
@@ -239,7 +239,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
* Download the examples via clone the source code.
```bash
- git clone -b v1.5 https://github.com/Microsoft/nni.git
+ git clone -b v1.6 https://github.com/Microsoft/nni.git
```
* Run the MNIST example.
diff --git a/docs/en_US/Release.md b/docs/en_US/Release.md
index ab7ed18ff1..6a23b5c3f4 100644
--- a/docs/en_US/Release.md
+++ b/docs/en_US/Release.md
@@ -1,5 +1,46 @@
# ChangeLog
+## Release 1.6 - 5/26/2020
+
+### Major Features
+
+#### New Features and improvement
+* Improve IPC limitation to 100W
+* improve code storage upload logic among trials in non-local platform
+* support `__version__` for SDK version
+* support windows dev intall
+
+#### Web UI
+* Show trial error message
+* finalize homepage layout
+* Refactor overview's best trials module
+* Remove multiphase from webui
+* add tooltip for trial concurrency in the overview page
+* Show top trials for hyper-parameter graph
+
+#### HPO Updates
+* Improve PBT on failure handling and support experiment resume for PBT
+
+#### NAS Updates
+* NAS support for TensorFlow 2.0 (preview) [TF2.0 NAS examples](https://github.com/microsoft/nni/tree/master/examples/nas/naive-tf)
+* Use OrderedDict for LayerChoice
+* Prettify the format of export
+* Replace layer choice with selected module after applied fixed architecture
+
+#### Model Compression Updates
+* Model compression PyTorch 1.4 support
+
+#### Training Service Updates
+* update pai yaml merge logic
+* support windows as remote machine in remote mode [Remote Mode](https://github.com/microsoft/nni/blob/master/docs/en_US/TrainingService/RemoteMachineMode.md#windows)
+
+### Bug Fix
+* fix dev install
+* SPOS example crash when the checkpoints do not have state_dict
+* Fix table sort issue when experiment had failed trial
+* Support multi python env (conda, pyenv etc)
+
+
## Release 1.5 - 4/13/2020
### New Features and Documentation