Zili Li

Title: The Innovative Contributions of Zili Li

Introduction

Zili Li is a prominent inventor based in San Jose, CA, known for his significant contributions to the field of neural networks and speech processing. With a total of 2 patents, he has made strides in enhancing the capabilities of artificial intelligence through innovative methodologies.

Latest Patents

Zili Li's latest patents include groundbreaking work in neural network training from private data. This patent describes a system where a slave device receives a version of a neural network model from a master. The slave accesses local or private data sources to optimize the neural network model, which can involve computing gradients or performing knowledge distillation. The enhanced model is then sent back to the master for further improvement.

Another notable patent is focused on vision-assisted speech processing. This invention utilizes image data to generate visual feature tensors and audio data to create audio feature tensors. These tensors are then employed by a linguistic model to extract linguistic features that help parse user utterances. The integration of visual and audio data in a client-server architecture represents a significant advancement in speech processing technology.

Career Highlights

Zili Li is currently employed at Soundhound, Inc., where he continues to push the boundaries of innovation in artificial intelligence. His work has not only contributed to the company's success but has also influenced the broader field of technology.

Collaborations

Zili collaborates with talented individuals such as Cristina Vasconcelos and Asif Amirguliyev, who share his passion for innovation and contribute to the development of cutting-edge technologies.

Conclusion

Zili Li's contributions to neural networks and speech processing exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing artificial intelligence, making him a notable figure in the field.