New York, NY, United States of America

Tarrence Van As


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):

Title: Innovations of Tarrence Van As

Introduction

Tarrence Van As is an accomplished inventor based in New York, NY. He has made significant contributions to the field of object recognition through his innovative patent. His work focuses on enhancing the capabilities of neural networks, which are essential in various applications today.

Latest Patents

Tarrence holds a patent titled "Object recognition neural network training using multiple data sources." This patent describes methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an object recognition neural network using multiple data sources. One of the methods involves receiving training data that includes a plurality of training images from a first source and images from a second source. A set of training images is obtained from the training data. For each training image in the set, contrast equalization is applied to generate a modified image. The modified image is then processed using the neural network to generate an object recognition output. A loss is determined based on errors between the object recognition output and the ground-truth annotation for each training image. The parameters of the neural network are updated based on the determined loss.

Career Highlights

Tarrence is currently employed at Magic Leap, Inc., where he continues to push the boundaries of technology and innovation. His work at Magic Leap focuses on developing advanced systems that leverage neural networks for improved object recognition.

Collaborations

Tarrence collaborates with talented individuals such as Siddharth Mahendran and Nitin Bansal. Their combined expertise contributes to the advancement of their projects and the overall success of their initiatives.

Conclusion

Tarrence Van As is a notable inventor whose work in object recognition and neural networks has the potential to impact various industries. His innovative approach and dedication to technology continue to drive advancements in the field.

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