diff --git a/README.md b/README.md
index a906db4..232e16a 100644
--- a/README.md
+++ b/README.md
@@ -3,6 +3,8 @@
 <h2 align="center">
   <a href="https://www.youtube.com/watch?v=0PHWCApIcCI"><img
 src="https://img.youtube.com/vi/0PHWCApIcCI/0.jpg" style="background-color:rgba(0,0,0,0);" height=300 alt="WhisperLive"></a>
+  <a href="https://www.youtube.com/watch?v=0f5oiG4oPWQ"><img
+  src="https://img.youtube.com/vi/0f5oiG4oPWQ/0.jpg" style="background-color:rgba(0,0,0,0);" height=300 alt="WhisperLive"></a>
   <br><br>A nearly-live implementation of OpenAI's Whisper.
 <br><br>
 </h2>
@@ -18,6 +20,7 @@ input from microphone and pre-recorded audio files.
 - [Browser Extensions](#browser-extensions)
 - [Whisper Live Server in Docker](#whisper-live-server-in-docker)
 - [Future Work](#future-work)
+- [Blog Posts](#blog-posts)
 - [Contact](#contact)
 - [Citations](#citations)
 
@@ -153,7 +156,7 @@ client(hls_url="http://as-hls-ww-live.akamaized.net/pool_904/live/ww/bbc_1xtra/b
   - TensorRT. Refer to [TensorRT_whisper readme](https://github.com/collabora/WhisperLive/blob/main/TensorRT_whisper.md) for setup and more tensorrt backend configurations.
   ```bash
   docker build . -f docker/Dockerfile.tensorrt -t whisperlive-tensorrt
-  docker run -p 9090:9090 --runtime=nvidia --gpus all --entrypoint /bin/bash -it whisperlive-tensorrt
+  docker run -p 9090:9090 --runtime=nvidia --entrypoint /bin/bash -it whisperlive-tensorrt
 
   # Build small.en engine
   bash build_whisper_tensorrt.sh /app/TensorRT-LLM-examples small.en        # float16
@@ -182,10 +185,16 @@ client(hls_url="http://as-hls-ww-live.akamaized.net/pool_904/live/ww/bbc_1xtra/b
 ## Future Work
 - [ ] Add translation to other languages on top of transcription.
 
+## Blog Posts
+- [Transforming speech technology with WhisperLive](https://www.collabora.com/news-and-blog/blog/2024/05/28/transforming-speech-technology-with-whisperlive/)
+- [WhisperFusion: Ultra-low latency conversations with an AI chatbot](https://www.collabora.com/news-and-blog/news-and-events/whisperfusion-ultra-low-latency-conversations-with-an-ai-chatbot.html) powered by WhisperLive
+- [Breaking language barriers 2.0: Moving closer towards fully reliable, production-ready Hindi ASR](https://www.collabora.com/news-and-blog/news-and-events/breaking-language-barriers-20-moving-closer-production-ready-hindi-asr.html) which is used in WhisperLive for hindi.
+
 ## Contact
 
 We are available to help you with both Open Source and proprietary AI projects. You can reach us via the Collabora website or [vineet.suryan@collabora.com](mailto:vineet.suryan@collabora.com) and [marcus.edel@collabora.com](mailto:marcus.edel@collabora.com).
 
+
 ## Citations
 ```bibtex
 @article{Whisper