Cupertino, CA, United States of America

Atila Orhon


Average Co-Inventor Count = 1.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Cupertino, CA (US) (2022)
  • Santa Clara, CA (US) (2024)

Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):

Title: Atila Orhon: Innovator in Neural Network Technologies

Introduction

Atila Orhon is a prominent inventor based in Cupertino, CA, known for his contributions to the field of neural networks. With a total of 3 patents, he has made significant strides in enhancing the capabilities of convolutional neural networks through innovative techniques.

Latest Patents

One of Atila's latest patents focuses on "Training transformer neural networks to generate parameters of convolutional neural networks." This application explores the use of transformer neural networks to create dynamic parameters for convolutional networks. In this process, image data is encoded and sent to both a decoder and a transformer neural network. The decoder provides decoded data for input into a convolutional neural network, while the transformer generates a set of dynamic parameter values. This allows the convolutional network to output instance image data that identifies multiple objects within an image. Additionally, the decoded data can be utilized to generate semantic data, which can be combined with instance data to create panoptic image data.

Another notable patent is related to "Interactive image segmentation." In this innovation, a subset of pixels in an image is labeled with an object identifier based on user interactions. The pixel data is processed through an embedding neural network model to produce pixel embedding vectors. A prototype embedding vector is then generated based on these vectors, allowing for the determination of probabilities for labeling additional pixels. This method enhances the segmentation of images by accurately identifying and labeling pixels based on user-defined object identifiers.

Career Highlights

Atila Orhon is currently employed at Apple Inc., where he continues to push the boundaries of technology in the realm of artificial intelligence and machine learning. His work has been instrumental in developing advanced neural network applications that have practical implications in various fields.

Collaborations

Atila collaborates with talented individuals such as Vignesh Jagadeesh and Marco Zuliani, contributing to a dynamic team focused on innovation and technological advancement.

Conclusion

Atila Orhon's work in neural networks exemplifies the spirit of innovation and creativity in technology. His patents reflect a deep understanding of complex systems and a commitment to enhancing the capabilities of artificial intelligence.

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