Daiyi Peng

Title: Daiyi Peng: Innovator in Machine Learning Algorithms

Introduction

Daiyi Peng is a prominent inventor based in Cupertino, CA, known for his contributions to the field of machine learning. With a total of 2 patents, he has made significant strides in developing innovative algorithms that enhance the capabilities of machine learning systems.

Latest Patents

Daiyi Peng's latest patents include a method for searching for an output machine learning (ML) algorithm to perform an ML task. This method involves receiving data that specifies an input ML algorithm and a search algorithm that evaluates candidate ML algorithms. The process generates a symbolic tree from the input algorithm and searches an algorithm search space to determine the performance metrics of trained candidate ML algorithms.

Another notable patent is focused on generating and searching reinforcement learning algorithms. This system creates a sequence of candidate reinforcement learning algorithms that interact with an environment. It evaluates the performance of these algorithms across various training environments, adjusting parameters to optimize their effectiveness. The system ultimately selects the best-performing algorithms based on comprehensive performance metrics.

Career Highlights

Daiyi Peng is currently employed at Google Inc., where he continues to push the boundaries of machine learning research. His work is instrumental in developing advanced algorithms that have practical applications in various industries.

Collaborations

Daiyi has collaborated with notable coworkers such as Quoc V Le and John Dalton Co-Reyes, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Daiyi Peng's work in machine learning algorithms exemplifies the spirit of innovation in technology. His patents reflect a deep understanding of complex systems and a commitment to advancing the field.