Company Filing History:
Years Active: 2022-2024
Title: Innovations of Inventor Nicolas Weber
Introduction
Nicolas Weber is a prominent inventor based in Dossenheim, Germany. He has made significant contributions to the field of data processing and machine learning, holding a total of three patents. His work focuses on enhancing the efficiency and functionality of computational frameworks.
Latest Patents
One of Nicolas Weber's latest patents is titled "Combination of multiple data processing and machine learning frameworks for a target hardware." This invention outlines a method for integrating various data processing and artificial intelligence frameworks. It involves extracting computation graphs from different frameworks and combining them into a fused computation graph. The process eliminates unnecessary memory copy operations and remaps memory spaces to optimize performance on target hardware.
Another notable patent is "Full asynchronous execution queue for accelerator hardware." This invention introduces a method for creating an asynchronous execution queue for accelerator hardware. It replaces traditional memory allocation operations with asynchronous ones, allowing for more efficient memory management. The execution of this method enables the accelerator to allocate memory dynamically while maintaining a look-up table for reference pointers.
Career Highlights
Nicolas Weber is currently employed at NEC Corporation, where he continues to innovate in the field of technology. His work at NEC has allowed him to explore advanced computational techniques and contribute to the development of cutting-edge solutions.
Collaborations
Throughout his career, Nicolas has collaborated with notable colleagues, including Felipe Huici and Mathias Niepert. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative technologies.
Conclusion
Nicolas Weber's contributions to data processing and machine learning exemplify the spirit of innovation. His patents reflect a deep understanding of computational frameworks and a commitment to advancing technology. His work continues to influence the field and inspire future innovations.