This inventor holds 1 USPTO granted patent. Top assignee: Latent Ai, 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: Jan Ernst and Neural Network Optimization
Introduction
Jan Ernst is an inventor based in Princeton, New Jersey. His patent work focuses on improving how neural networks run on different types of computing hardware.
Latest Patents
Ernst is associated with 1 patent, titled “Neural Network Optimization Using Knowledge Representations.” The invention describes systems, tools, and methods for optimizing neural networks to run efficiently on target hardware, including central processing units, graphics processing units, and digital signal processors. Its software tools fit into a machine-learning operations workflow and use optimization algorithms, such as quantization and pruning, alongside compiler processes to reduce memory requirements and processing latency.
Career Highlights
Ernst works at Latent AI, Inc., where his patent is connected to practical methods for deploying neural networks efficiently across computing platforms.
Collaborations
His listed coworkers include Sek Meng Chai and Abelardo Lopez-Lagunas.
Conclusion
Jan Ernst’s patent highlights his work on making neural networks more efficient through hardware-aware optimization, reduced memory use, and lower processing latency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile