Update README.md

README.md

@@ -31,7 +31,7 @@ We introduce **Intern-S1-Pro**, a trillion-scale MoE multimodal scientific reaso
 - **State-of-the-art scientific reasoning**, competitive with leading closed-source models across AI4Science tasks.
 - **Strong general multimodal performance** on various benchmarks.
 - **Trillion-scale MoE training efficiency** with **STE** routing (dense gradient for router training)  and **grouped routing** for stable convergence and balanced expert parallelism.
-- **Fourier Position Encoding (FoPE)  + upgraded temporal modeling** for better physical/spectral signal representation; supports long, heterogeneous time-series (10^0–10^6 points).
+- **Fourier Position Encoding (FoPE)  + upgraded time-series modeling** for better physical signal representation; supports long, heterogeneous time-series (10^0–10^6 points).
 
 ### Performance
 
@@ -68,7 +68,7 @@ InternS1-Pro can be deployed using any of the following LLM inference frameworks
 
 Detailed deployment examples for these frameworks are available in the [Model Deployment Guide](./deployment_guide.md).
 
-> Deployment support for the temporal signal module is under optimization and will be released soon.
+> Deployment support for the time-series module is under optimization and will be released soon.
 
 
 ## Advanced Usage