Company Filing History:
Years Active: 2021-2024
Title: Aysegul Dundar: Innovator in Neural Network Technologies
Introduction
Aysegul Dundar is a prominent inventor based in Santa Clara, CA, known for her contributions to the field of neural networks. With a total of 2 patents, she has made significant strides in enhancing video processing and image recognition technologies. Her work is particularly relevant in today's digital landscape, where artificial intelligence plays a crucial role.
Latest Patents
Dundar's latest patents include innovative technologies that leverage neural networks for video prediction and domain stylization. The first patent, titled "Video prediction using one or more neural networks," discloses apparatuses, systems, and techniques to enhance video. In this embodiment, one or more neural networks are utilized to create a second video from a first video, incorporating additional video frames.
The second patent, "Domain stylization using a neural network model," describes a style transfer neural network that generates stylized synthetic images. Real images provide the style, such as seasons or lighting, which is transferred to synthetic images. This process allows for the training of a recognition neural network, which predicts semantic labels for real images. The training and stylization processes are iteratively refined to improve the accuracy of the recognition neural network.
Career Highlights
Aysegul Dundar is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technologies. Her work at Nvidia has positioned her at the forefront of innovation in neural network applications, contributing to advancements in both video and image processing.
Collaborations
Dundar has collaborated with notable colleagues, including Ming-Yu Liu and Ting-Chun Wang. These collaborations have further enriched her research and development efforts, leading to impactful innovations in the field.
Conclusion
Aysegul Dundar's contributions to neural network technologies exemplify her role as a leading inventor in the tech industry. Her patents reflect a commitment to advancing video and image processing, making her a significant figure in the realm of artificial intelligence.