Location History:
- Los Angeles, CA (US) (1992)
- Torrance, CA (US) (1992)
Company Filing History:
Years Active: 1992
Title: The Innovative Contributions of Li-Shing Lee
Introduction
Li-Shing Lee is a prominent inventor based in Los Angeles, CA. She has made significant contributions to the field of optical neural networks, holding a total of 2 patents. Her work focuses on advancing technology that enhances the capabilities of neural networks through optical processes.
Latest Patents
Li-Shing Lee's latest patents include groundbreaking innovations in the realm of all-optical, continuous-time, recurrent neural networks. One of her patents describes a continuous-time optical neural network process that is capable of executing a broad class of energy-minimizing neural net algorithms. This network functions as a resonator, incorporating a saturable, two-beam amplifier, two volume holograms, and a linear, two-beam amplifier. The saturable amplifier allows for the realization of a two-dimensional optical neuron array through a spatially patterned signal beam. The two volume holograms provide adaptive, global network interconnectivity, while the linear amplifier ensures sufficient resonator gain for the network's convergent operation.
Career Highlights
Li-Shing Lee is currently employed at Northrop Corporation, where she continues to push the boundaries of innovation in her field. Her work has garnered attention for its potential applications in various technological domains, particularly in artificial intelligence and machine learning.
Collaborations
Li-Shing collaborates with notable professionals in her field, including her coworker Harold M Stoll. Their combined expertise contributes to the advancement of optical neural network technologies.
Conclusion
Li-Shing Lee's contributions to the field of optical neural networks exemplify her innovative spirit and dedication to advancing technology. Her patents reflect a commitment to developing solutions that enhance the functionality of neural networks, paving the way for future advancements in artificial intelligence.