Chapel Hill, NC, United States of America

Ravikiran Janardhana


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 130(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):

Title: Ravikiran Janardhana: Innovator in Statistical Language Understanding Systems

Introduction

Ravikiran Janardhana is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of language understanding systems, particularly through his innovative patent.

Latest Patents

Ravikiran holds a patent titled "Scaling statistical language understanding systems across domains and intents." This patent describes a scalable statistical language understanding (SLU) system that utilizes a fixed number of understanding models to effectively scale across various domains and intents. The system is designed to update existing models as new domains are added, allowing for the reuse of information and training data. The fixed models include a domain detector model, an intent action detector model, an intent object detector model, and a slot/entity tagging model. The domain detector identifies different domains within an utterance, which are then used to determine associated intent actions and identify intent objects.

Career Highlights

Ravikiran is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work focuses on enhancing the capabilities of language understanding systems, making them more efficient and adaptable.

Collaborations

Ravikiran has collaborated with esteemed colleagues such as Ruhi Sarikaya and Anoop Deoras. Their combined expertise contributes to the advancement of technology in the field of language understanding.

Conclusion

Ravikiran Janardhana's contributions to statistical language understanding systems highlight his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in making language processing more scalable and efficient.

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