Sriram Vasudevan

Title: Sriram Vasudevan: Innovator in Machine Learning Technologies

Introduction

Sriram Vasudevan is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of machine learning, particularly in the development of innovative techniques that enhance the capabilities of machine-learned models.

Latest Patents

Sriram holds 1 patent for his invention titled "Machine-learned models incorporating sequence encoders that operate on bag of words input." This patent provides techniques for incorporating sequence encoders into machine-learned models where the sequence encoders operate on bag of words (BOW) input. The invention identifies tokens associated with the online activities of an entity and determines an order of machine-learned embeddings based on independent ordering criteria. This order is then used to generate a score for selecting content items transmitted over a computer network.

Career Highlights

Sriram is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of machine learning technologies. His work has been instrumental in developing advanced models that improve the efficiency and accuracy of data processing.

Collaborations

Sriram has collaborated with notable colleagues, including Meng Meng and Daniel Sairom Krishnan Hewlett, contributing to a dynamic and innovative work environment.

Conclusion

Sriram Vasudevan's contributions to machine learning exemplify the impact of innovative thinking in technology. His patent and ongoing work at Microsoft Technology Licensing, LLC highlight his role as a key player in advancing machine learning methodologies.