This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Jayesh Kumar Gupta and Clifford Neural Layers for Multivector System Modeling.
Introduction
Jayesh Kumar Gupta is an inventor based in Bellevue, Washington. His patent work concerns machine learning methods for modeling systems whose states are represented by multivectors.
Latest Patents
Gupta is associated with 1 patent, titled “Clifford Neural Layers for Multivector System Modeling.” The invention describes a machine learning model that receives a multivector representing a system’s state and processes it through a Clifford layer. Neurons in the layer implement a multivector kernel to generate an output representing the system’s responsive state.
Career Highlights
Gupta is associated with Microsoft Technology Licensing, LLC. His patent highlights an application of Clifford algebra to machine learning, using multivector representations to model system behavior.
Collaborations
The provided information names Johannes Brandstetter and Max Welling as Gupta’s coworkers. Their inclusion points to a collaborative professional context around his work.
Conclusion
Jayesh Kumar Gupta’s patent presents a machine learning approach that uses Clifford neural layers to model multivector systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile