Myles Brundage

Title: Myles Brundage: Innovator in Machine Learning and Data Object Creation

Introduction

Myles Brundage is a notable inventor based in San Francisco, CA, who has made significant contributions to the field of machine learning and data object creation. With a total of two patents to his name, Brundage is recognized for his innovative approaches to enhancing data object recommendations through advanced neural network systems.

Latest Patents

Brundage's latest patents include "Data object creation and recommendation using machine learning based offline evolution" and "Data object creation and recommendation using machine learning based online evolution." The first patent focuses on neural network-based systems that prepare a data object creation and recommendation database. It involves providing representations of preliminary data object images along with conformity parameters, training a neural network to evaluate future data object images, and storing selected representations in a machine-readable memory. The second patent addresses expanded data object correlations for user-generated web customizations. It describes a process of creating candidate data object image representations, scoring them for conformity, and iterating through a cycle of discarding and adding until a satisfactory candidate pool is achieved.

Career Highlights

Myles Brundage is currently employed at Evolv Technology Solutions, Inc., where he continues to develop innovative technologies that leverage machine learning for data object creation. His work has positioned him as a key player in the intersection of artificial intelligence and user experience.

Collaborations

Brundage collaborates with Risto Miikkulainen, a fellow innovator in the field. Their partnership enhances the development of machine learning technologies and contributes to the advancement of data object creation methodologies.

Conclusion

Myles Brundage's contributions to machine learning and data object creation demonstrate his commitment to innovation in technology. His patents reflect a deep understanding of neural networks and their applications in enhancing user experiences.