From 67f08b07fbba86ffd80fcfbb4dc0754ab154ab64 Mon Sep 17 00:00:00 2001
From: Scarlett Li <39592018+scarlett2018@users.noreply.github.com>
Date: Tue, 23 Feb 2021 10:09:15 +0800
Subject: [PATCH] Update README.md

---
 README.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 9e76e2eb3b..1fa4325ae8 100644
--- a/README.md
+++ b/README.md
@@ -25,8 +25,11 @@ 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 v2.0 has been released!](https://github.com/microsoft/nni/releases) &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
+## **What's NEW!** &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>
+* **New release**: [v2.0 is available](https://github.com/microsoft/nni/releases) - _released on Jan-14-2021_
+* **New demo available**: [Youtube entry](https://www.youtube.com/channel/UCKcafm6861B2mnYhPbZHavw) | [Bilibili 入口](https://space.bilibili.com/1649051673) - _last updated on Feb-19-2021_
 
+* **New use case sharing**: [Cost-effective Hyper-parameter Tuning using AdaptDL with NNI](https://medium.com/casl-project/cost-effective-hyper-parameter-tuning-using-adaptdl-with-nni-e55642888761) - _posted on Feb-23-2021_
 
 ## **NNI capabilities in a glance**