Company Filing History:
1 out of 132,083 
1 out of 39 
Years Active: 2021
Title: Iulia-Alexandra Lungu: Innovator in Neural Network Conversion
Introduction
Iulia-Alexandra Lungu is a prominent inventor based in Zurich, Switzerland. She has made significant contributions to the field of neural networks, particularly in the conversion of analog neural networks to spiking neural networks. Her innovative approach has garnered attention in the tech community.
Latest Patents
Iulia-Alexandra holds a patent titled "Method of converting neural network and recognition apparatus using the same." This patent describes a method for converting an analog neural network (ANN) to a spiking neural network (SNN). The process involves normalizing parameters of a trained ANN based on a reference activation and determining parameters for the SNN based on these normalized values. She has 1 patent to her name.
Career Highlights
Throughout her career, Iulia-Alexandra has worked with notable organizations, including Samsung Electronics Co., Ltd. and the University of Zurich. Her experience in these institutions has allowed her to develop her expertise in neural networks and recognition systems.
Collaborations
Iulia-Alexandra has collaborated with esteemed colleagues such as Bodo Ruckauer and Yuhuang Hu. Their joint efforts have contributed to advancements in the field of neural network technology.
Conclusion
Iulia-Alexandra Lungu is a trailblazer in the realm of neural network conversion, with a focus on innovative methods that enhance recognition systems. Her work continues to influence the development of advanced technologies in this area.