Sunnyvale, CA, United States of America

Luiz Scheinkman

USPTO Granted Patents = 10 

Average Co-Inventor Count = 2.3

ph-index = 5

Forward Citations = 172(Granted Patents)


Location History:

  • San Jose, CA (US) (2002 - 2006)
  • Sunnyvale, CA (US) (2008 - 2023)

Company Filing History:


Years Active: 2002-2025

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10 patents (USPTO):Explore Patents

Title: Luiz Scheinkman: Innovator in Sparse Neural Networks

Introduction

Luiz Scheinkman is a prominent inventor based in Sunnyvale, CA, known for his significant contributions to the field of artificial intelligence and neural networks. With a total of 10 patents to his name, Scheinkman has made remarkable advancements in the way neural networks operate, particularly through the use of sparse representations.

Latest Patents

One of Scheinkman's latest patents focuses on performing inference and training using sparse neural networks. This innovative system trains and performs inference by utilizing a sparse neural network that may consist of one or more layers. Each layer is associated with a set of sparse weights that represent the connections between nodes of the current layer and nodes of the previous layer. The output of a layer is generated by applying these sparse weights to the output of the previous layer. The use of sparse representations for weights and layer outputs enhances the robustness and stability of the neural network while maintaining competitive accuracy.

Career Highlights

Throughout his career, Scheinkman has worked with notable companies such as SAP AG and Numenta, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the realm of artificial intelligence.

Collaborations

Some of Scheinkman's notable coworkers include Igor Tsyganskiy and Vitaliy Stulski, who have collaborated with him on various projects, further enriching the field of neural networks.

Conclusion

Luiz Scheinkman's work in sparse neural networks exemplifies the innovative spirit of modern inventors. His contributions continue to influence the development of more efficient and effective artificial intelligence systems.

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