This inventor holds 2 USPTO granted patents. Top assignee: Magic Leap, Inc.. Active years: 2019-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Plantation, FL (US) (2019)
- Pasadena, CA (US) (2023)
Company Filing History:
Years Active: 2019-2023
Title: Gregory David Roberts: Innovator in Convolutional Neural Networks
Introduction
Gregory David Roberts is a notable inventor based in Plantation, FL (US). He has made significant contributions to the field of convolutional neural networks, holding 2 patents that enhance the efficiency of data layouts in these systems. His work is instrumental in advancing the capabilities of machine learning and artificial intelligence.
Latest Patents
Roberts' latest patents focus on systems and methods for efficient implementation of a convolutional layer of a convolutional neural network. In one aspect, weight values of kernels in a kernel stack of a convolutional layer can be reordered into a tile layout with tiles of runnels. Additionally, pixel values of input activation maps of the convolutional layer can be reordered into an interleaved layout comprising a plurality of clusters of input activation map pixels. The output activation maps can be determined using the clusters of the input activation map pixels and kernels tile by tile.
Career Highlights
Gregory David Roberts is currently employed at Magic Leap, Inc., where he continues to innovate and develop cutting-edge technologies. His work at Magic Leap has positioned him as a key player in the advancement of augmented reality and machine learning applications.
Collaborations
Roberts collaborates with talented individuals in his field, including his coworker Ashkan Aliabadi. Their combined expertise contributes to the innovative projects at Magic Leap.
Conclusion
Gregory David Roberts is a prominent inventor whose work in convolutional neural networks is paving the way for future advancements in technology. His contributions are vital to the ongoing evolution of machine learning and artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
