Cambridge, United Kingdom

Alberto Gil Ramos

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovations of Alberto Gil Ramos

Introduction

Alberto Gil Ramos is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of technology, particularly in the area of updating learned models. His work has implications for various applications, enhancing the efficiency and accuracy of data processing systems.

Latest Patents

Alberto holds 1 patent for his invention titled "Updating learned models." This patent discloses methods and systems for updating learned models. An embodiment of the invention involves receiving multiple data sets that represent sensed data from one or more devices. It also includes determining local parameters using local learned models based on the received data sets. Furthermore, the invention describes generating a combined data set by merging the plurality of data sets and determining global parameters based on this combined data set. The process also involves transmitting global parameters to a remote system for updating global parameters using global learned models, and subsequently receiving updated global parameters. Finally, the local learned models are updated using both local parameters and the updated global parameters.

Career Highlights

Alberto is currently associated with Nokia Technologies Oy, where he continues to innovate and develop new technologies. His work at Nokia has allowed him to explore advanced methodologies in data processing and machine learning.

Collaborations

Alberto has collaborated with talented individuals such as Sourav Bhattacharya and Nicholas Lane. Their combined expertise has contributed to the advancement of their projects and innovations.

Conclusion

Alberto Gil Ramos is a distinguished inventor whose work in updating learned models showcases his commitment to advancing technology. His contributions are valuable to the field and demonstrate the importance of innovation in improving data processing systems.

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