This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Neurala, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yiannis Papadopoulos: Innovator in Lifelong Deep Neural Networks
Introduction
Yiannis Papadopoulos is a notable inventor based in Waltham, MA (US). He has made significant contributions to the field of artificial intelligence, particularly in the area of quality control through innovative neural network technologies. His work focuses on addressing the challenges faced by industrial quality control systems.
Latest Patents
Yiannis holds a patent for "Systems and methods for anomaly recognition and detection using lifelong deep neural networks." This patent addresses the difficulties in industrial quality control, where there is often an abundance of data representing good products but a scarcity of data for defective ones. The technology he developed, known as Lifelong Deep Neural Networks (L-DNN), allows for real-time learning and adaptation to new, unseen classes of data, making it particularly useful for industrial inspections and manufacturing quality control.
Career Highlights
Yiannis is currently employed at Neurala, Inc., where he applies his expertise in deep learning and neural networks. His innovative approach has positioned him as a key player in the development of advanced quality control systems. With a focus on enhancing the capabilities of artificial neural networks, he continues to push the boundaries of what is possible in this field.
Collaborations
Some of Yiannis's coworkers include Carl Palme and Carly Franca. Their collaborative efforts contribute to the ongoing advancements in neural network technologies at Neurala, Inc.
Conclusion
Yiannis Papadopoulos is a pioneering inventor whose work in lifelong deep neural networks is transforming industrial quality control. His innovative solutions are paving the way for more effective and efficient manufacturing processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
