Amsterdam, Netherlands

Markus Nagel

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.8

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Markus Nagel

Introduction

Markus Nagel is a prominent inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of technology, particularly in the area of quantization and neural networks. With a total of 5 patents to his name, his work continues to influence advancements in machine learning and artificial intelligence.

Latest Patents

Markus Nagel's latest patents include innovative methods for joint mixed-precision quantization and structured pruning. One of his notable inventions involves various embodiments that include methods and devices for quantization and pruning. This invention focuses on determining whether a plurality of gates are selected for combination and iteratively quantizing a residual error of a quantized tensor. Another significant patent addresses systems and methods of cross-layer rescaling for improved quantization performance. This invention includes methods for equalizing ranges of weight tensors within neural networks, enhancing the overall performance of quantization.

Career Highlights

Markus Nagel is currently employed at Qualcomm Incorporated, a leading company in the technology sector. His work at Qualcomm has allowed him to explore and develop cutting-edge technologies that push the boundaries of what is possible in neural network computing.

Collaborations

Throughout his career, Markus has collaborated with talented individuals such as Marinus Willem Van Baalen and Tijmen Pieter Frederik Blankevoort. These collaborations have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.

Conclusion

Markus Nagel's contributions to technology through his patents and work at Qualcomm Incorporated highlight his role as a key innovator in the field of quantization and neural networks. His ongoing efforts continue to shape the future of machine learning and artificial intelligence.

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