This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. 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: Michal Marcinkiewicz: Innovator in Neural Network Classification
Introduction
Michal Marcinkiewicz is a prominent inventor based in Katowice, Poland. He has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. His innovative work focuses on techniques for classification, which have implications for various applications in technology.
Latest Patents
Marcinkiewicz holds a patent titled "Techniques for classification with neural networks." This patent encompasses apparatuses, systems, and techniques designed to train neural networks for classification tasks. In one embodiment, the invention involves training neural networks using compressed representations of class labels, which utilize fewer bits than traditional representations. This advancement enhances the efficiency and effectiveness of neural network classification.
Career Highlights
Currently, Michal Marcinkiewicz is employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence technologies. His role at Nvidia allows him to work on cutting-edge projects that push the boundaries of what is possible with neural networks and machine learning.
Collaborations
Marcinkiewicz collaborates with talented individuals in his field, including his coworker Pablo Ribalta. Together, they contribute to the advancement of neural network technologies and explore new methodologies for classification.
Conclusion
In summary, Michal Marcinkiewicz is an influential inventor whose work in neural network classification is paving the way for future innovations in artificial intelligence. His contributions at Nvidia Corporation and his patented techniques are significant milestones in the ongoing evolution of technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
