Raleigh, NC, United States of America

Adam P Geringer

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.3

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Adam P. Geringer

Introduction

Adam P. Geringer is an accomplished inventor based in Raleigh, NC, with a focus on advancements in artificial intelligence and neural networks. He holds three patents that showcase his innovative contributions to the field.

Latest Patents

One of his latest patents is titled "Unsupervised data drift detection for classification neural networks." This patent discloses methods, systems, and apparatuses for detecting data drift in classification neural networks. The method involves providing a data stream of images to a neural network, generating class-wise probabilities, and comparing artifacts of images over time to generate informative communications based on these comparisons.

Another significant patent is "Discovering novel artificial neural network architectures." This invention outlines methods for calculating architecture fingerprints of existing neural networks and creating next-generation candidate architectures. The process includes calculating pairwise similarities and retraining these architectures to obtain performance scores, ultimately leading to the discovery of more efficient neural network designs.

Career Highlights

Adam Geringer is currently employed at Blaize, Inc., where he continues to push the boundaries of technology in artificial intelligence. His work is instrumental in developing innovative solutions that enhance the capabilities of neural networks.

Collaborations

He collaborates with notable colleagues such as Ilya A. Balabin and Dmitry Zakharchenko, contributing to a dynamic and innovative work environment.

Conclusion

Adam P. Geringer is a prominent figure in the field of artificial intelligence, with a strong portfolio of patents that reflect his innovative spirit and dedication to advancing technology. His contributions are paving the way for future developments in neural networks and data analysis.

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