Update news about the release of EmbodiedScan v2 beta

README.md

@@ -44,7 +44,7 @@ It encompasses over <b>5k scans encapsulating 1M ego-centric RGB-D views, 1M lan
 Building upon this database, we introduce a baseline framework named <b>Embodied Perceptron</b>. It is capable of processing an arbitrary number of multi-modal inputs and demonstrates remarkable 3D perception capabilities, both within the two series of benchmarks we set up, i.e., fundamental 3D perception tasks and language-grounded tasks, and <b>in the wild</b>.
 
 ## 🔥 News
-
+- \[2024-09\] We are pleased to announce the release of EmbodiedScan v2 beta, with original annotations on newly added ~5k scans from ARKitScenes and the beta version of MMScan's annotations on the original 5k scans. Fill in the [form](https://docs.google.com/forms/d/e/1FAIpQLScUXEDTksGiqHZp31j7Zp7zlCNV7p_08uViwP_Nbzfn3g6hhw/viewform) to apply for downloading. Welcome for any feedback!
 - \[2024-08\] We preliminarily release the [sample data](https://drive.google.com/file/d/1Y1_LOE35NpsnkneYElvNwuuR6-OAbwPm/view?usp=sharing) of [MMScan](https://tai-wang.github.io/mmscan/) and the full release will be ready with ARKitScenes' annotations this month, which will be announced via emails to the community. Please stay tuned!
 - \[2024-06\] The report of our follow-up work with the most-ever hierarchical grounded language annotations, [MMScan](https://tai-wang.github.io/mmscan/), has been released. Welcome to talk with us about EmbodiedScan and MMScan at Seattle, CVPR 2024!
 - \[2024-04\] We release all the baselines with pretrained models and logs. Welcome to try and play with them on our demo data! Note that we rename some keys in the multi-view 3D detection and visual grounding model. Please re-download the pretrained models if you just use our code for inference.