Company Filing History:
2 out of 1,200 
1 out of 5 
1 out of 40,927 
Years Active: 2021-2025
Title: Inventor Spotlight: Chih-Cheng Chang
Introduction
Chih-Cheng Chang is a prominent inventor based in Taipei, Taiwan, recognized for his contributions to innovative technologies in the field of neural networks. With a remarkable portfolio of two patents, Chang has demonstrated a commitment to advancing the capabilities of machine learning and deep learning systems.
Latest Patents
Chang's latest patents reflect his expertise in neural network technologies. His first patent describes a "Device and method for operating the same," which includes a complex arrangement of wires, resistors, and a processor. This device efficiently processes input signals, employing a nonlinear activation function to generate a shifted sum value, which is utilized for backpropagation calculations and voltage pulse applications.
The second patent pertains to a "Neural network processing system" that features a synapse and neuron circuit configuration. This invention enhances prediction and learning functions within deep learning frameworks by incorporating weighted values that vary in response to external stimuli. As a result, it enables real-time learning and high precision in hardware neural networks, marking a significant step forward in computational intelligence.
Career Highlights
Chih-Cheng Chang has collaborated with esteemed institutions such as National Chiao Tung University and Taiwan Semiconductor Manufacturing Company Limited. His roles at these organizations have allowed him to engage deeply with cutting-edge technology and foster an environment of innovation.
Collaborations
Chang has worked alongside notable colleagues, including Tuo-Hung Hou and Jen-Chieh Liu. This collaborative spirit in research and development has facilitated advancements in their projects and contributed to their collective success in the field of neural networks.
Conclusion
Chih-Cheng Chang's work is a testament to the innovative spirit within the technology sector. His specialized patents highlight significant advancements in neural network processing, providing valuable insights and tools for the future of machine learning. As he continues to push the boundaries of technology, his contributions will likely influence the direction of future innovations in this exciting field.