This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: X Development LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Aviva Cheryl Shwaid: Innovator in Meta-Learning Technologies
Introduction
Aviva Cheryl Shwaid is a prominent inventor based in Santa Monica, CA. She has made significant contributions to the field of computer science, particularly in the area of meta-learning for object anomaly detection. Her innovative work has led to the development of advanced methods and systems that enhance the capabilities of classification neural networks.
Latest Patents
Aviva holds a patent titled "Meta-learning for detecting object anomaly from images." This patent encompasses methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a classification neural network. The system she developed generates one or more meta-learning datasets from a set of object-specific data for initial training tasks. It determines values for a set of meta parameters through meta-learning with a classification neural network on these datasets. Furthermore, the system obtains labeled training examples for a characteristic-detection task and determines target values for the network parameters based on the meta parameters and labeled examples.
Career Highlights
Aviva is currently employed at X Development LLC, where she continues to push the boundaries of technology and innovation. Her work is characterized by a commitment to advancing the understanding and application of machine learning techniques.
Collaborations
Aviva collaborates with talented individuals such as Ananya Gupta and Phillip Ellsworth Stahlfeld. Together, they contribute to the innovative projects at X Development LLC.
Conclusion
Aviva Cheryl Shwaid is a trailblazer in the field of meta-learning, with a focus on enhancing object anomaly detection through her patented technologies. Her contributions are shaping the future of machine learning and classification systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
