Update README

README.md

@@ -35,7 +35,7 @@ processing, learning, and its deployment on robots.
 
 ## Update News 🎉🎉🎉
 - [2023-12-7] [EfficientSAM](https://yformer.github.io/efficient-sam/) is supported for high-speed segmentation on edge devices like Nvidia Jetson, check the [example](https://github.com/Skylark0924/Rofunc/blob/main/examples/visualab/example_efficient_sam_seg_w_prompt.py) in Visualab.
-- [2023-12-3] [Segment-Anything (SAM)](https://yformer.github.io/efficient-sam/) is supported in an interactive mode, check the [example](https://github.com/Skylark0924/Rofunc/blob/main/examples/visualab/example_sam_seg_w_prompt.py) in Visualab.
+- [2023-12-3] [Segment-Anything (SAM)](https://segment-anything.com/) is supported in an interactive mode, check the [example](https://github.com/Skylark0924/Rofunc/blob/main/examples/visualab/example_sam_seg_w_prompt.py) in Visualab.
 - **[2023-10-1] [RofuncRL](https://rofunc.readthedocs.io/en/latest/lfd/RofuncRL/index.html): A modular easy-to-use Reinforcement Learning sub-package designed for Robot Learning tasks is released. It has been tested with simulators like `OpenAIGym`, `IsaacGym`, `OmniIsaacGym` (see [example gallery](https://rofunc.readthedocs.io/en/latest/examples/learning_rl/index.html)), and also differentiable simulators like `PlasticineLab` and `DiffCloth`.**
 - ...
 - If you want to know more about the update news, please refer to the [changelog](https://github.com/Skylark0924/Rofunc/blob/main/changelog.md)