Vancouver, Canada

Maria Mandlis

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Maria Mandlis - Innovator in Neural Network Interfaces

Introduction

Maria Mandlis is a prominent inventor based in Vancouver, Canada. She has made significant contributions to the field of machine learning and user interface design. Her innovative approach focuses on enhancing the deployment and application of neural network models through interactive graphical user interfaces.

Latest Patents

Maria holds a patent for "Interactive graphical user interfaces for deployment and application of neural network models using cross-device node-graph pipelines." This patent describes a method that includes providing an interactive graphical user interface with multiple menus for input options, machine learning models, and output formats. The method generates a graph within the interface by detecting user selections and displays nodes and edges that connect the various components. Additionally, it applies the selected machine learning model to generate outputs in the chosen format, showcasing her expertise in integrating complex technologies into user-friendly applications.

Career Highlights

Maria has had a successful career at Google Inc., where she has been instrumental in developing advanced technologies that bridge the gap between machine learning and user interaction. Her work has not only advanced the capabilities of neural networks but has also made these technologies more accessible to users across different devices.

Collaborations

Throughout her career, Maria has collaborated with talented individuals such as Ruofei Du and Na Li. These partnerships have fostered innovation and contributed to the successful development of her patented technologies.

Conclusion

Maria Mandlis is a trailblazer in the field of interactive graphical user interfaces and neural networks. Her contributions have significantly impacted the way users interact with complex machine learning models. Her work continues to inspire advancements in technology and user experience.

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