San Jose, CA, United States of America

Yury Kartynnik


Average Co-Inventor Count = 4.6

ph-index = 1


Company Filing History:


Years Active: 2021-2023

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3 patents (USPTO):Explore Patents

Title: Yury Kartynnik: Innovator in Convolutional Neural Networks

Introduction

Yury Kartynnik is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of convolutional neural networks. With a total of 3 patents to his name, Kartynnik is recognized for his innovative approaches to reducing computational costs in facial recognition technologies.

Latest Patents

One of Yury Kartynnik's latest patents focuses on efficient convolutional neural networks and techniques to reduce associated computational costs. This computing system is designed to receive an input that describes a facial image and generate a facial object recognition output that identifies one or more facial feature locations within the image. The convolutional neural network comprises multiple convolutional blocks, with at least one block featuring separable convolutional layers. These layers are configured to apply both depthwise and pointwise convolutions during the processing of inputs to produce outputs. Notably, the depthwise convolution can utilize a kernel size greater than 3×3, and some blocks include a residual shortcut connection from their input to output.

Career Highlights

Yury Kartynnik has established a successful career at Google Inc., where he continues to innovate in the realm of machine learning and artificial intelligence. His work has not only advanced the technology but has also paved the way for more efficient systems in various applications.

Collaborations

Throughout his career, Yury has collaborated with notable colleagues such as Matthias Grundmann and Valentin Bazarevsky. These partnerships have contributed to the development of cutting-edge technologies in the field.

Conclusion

Yury Kartynnik is a key figure in the advancement of convolutional neural networks, with a focus on efficiency and computational cost reduction. His contributions at Google Inc. and his innovative patents highlight his role as a leading inventor in the technology sector.

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