Update README.md

README.md

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 Welcome to the Hugging Space for the Sapienza University of Rome, one of the oldest and most prestigious universities in the world. This organization is devoted to the advancement and sharing of knowledge through research and teaching. We're here on Hugging Face to provide our contributions to the world of AI and machine learning.
 
-## Our Work
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-In our Hugging Space, you will find various machine learning models and datasets that our researchers have developed and published. Our contributions span several subfields of AI, including but not limited to:
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-- Natural Language Processing (NLP)
-- Computer Vision
-- Reinforcement Learning
-- Machine Learning Theory
-- Bioinformatics and Medical AI
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-Our researchers are continually striving to push the boundaries of AI and ML. We collaborate across various departments within the university, including the Department of Computer Science, the Department of Information Engineering, Electronics, and Telecommunications, and many others.
 
 ## Getting Started
 
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 ## Contributing
 
-We encourage contributions and collaborations. If you are a student or a researcher from Sapienza University and you want to publish your model or dataset under our organization, please access the organization through your institutional email.
+We encourage contributions and collaborations. If you are a student or a researcher from Sapienza University and you want to publish your model or dataset under our organization, **please access the organization through your institutional email**.
 
 ## Communication
 
 For questions, comments, or issues related to specific models or datasets, please use the Issues feature on the respective model/dataset page.
 
 
-## Acknowledgements
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-We would like to acknowledge the hard work of our students, faculty, and researchers. Their passion and dedication are what makes our contributions to the AI community possible.
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 ## Disclaimer
 
 All models and datasets in this space are provided "as is" and without any express or implied warranties. For more details, please refer to the individual licenses associated with each model/dataset.