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For the Inventor, By the Inventor

Dietkon, Switzerland

Raphael C Polig

USPTO Granted Patents = 27

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 100(Granted Patents)


Location History:

  • Reutlingen, DE (2013)
  • Dietkon, CH (2017)
  • Dietikon, CH (2014 - 2020)
  • Langnau am Albis, CH (2021 - 2024)

Company Filing History:

goldMedal27 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2013-2024

where 'Filed Patents' based on already Granted Patents

27 patents (USPTO):
1. 11907828 - Deep neural network on field-programmable gate array (2024-02-20),
2. 11521705 - Random sequence generation for gene simulations (2022-12-06),
3. 11515005 - Interactive-aware clustering of stable states (2022-11-29),
4. 11275713 - Bit-serial linear algebra processor (2022-03-15),
5. 11150926 - Native code generation for cloud services (2021-10-19),
6. 10970449 - Learning framework for software-hardware model generation and verification (2021-04-06),
7. 10803346 - Hardware compilation of cascaded grammars (2020-10-13),
8. 10776118 - Index based memory access using single instruction multiple data unit (2020-09-15),
9. 10685082 - Sparse matrix multiplication using a single field programmable gate array module (2020-06-16),
10. 10430326 - Precision data access using differential data (2019-10-01),
11. 10430325 - Precision data access using differential data (2019-10-01),
12. 10198646 - Hardware compilation of cascaded grammars (2019-02-05),
13. 10025754 - Linear FE system solver with dynamic multi-grip precision (2018-07-17),
14. 9983876 - Non-deterministic finite state machine module for use in a regular expression matching system (2018-05-29),
15. 9858056 - Accelerated content analytics based on a hierarchical data-flow-graph representation (2018-01-02),

Title: The Innovator Raphael C. Polig: Pioneering Neural Networks and Gene Simulations

Introduction: Raphael C. Polig, based in Dietikon, Switzerland, is a distinguished inventor known for his contributions to technology through his 27 patents. His work primarily revolves around the fields of deep learning and gene simulations, showcasing innovative approaches to complex problems in computing and biotechnology.

Latest Patents: Among his most recent inventions, Raphael has developed a method for utilizing field-programmable gate arrays (FPGAs) for inference of trained deep neural networks (DNNs). This invention involves configuring different precision settings to optimize the performance of the DNN, providing a stack of bitstream files that facilitate easy programming of the FPGA for specific tasks. Another significant patent addresses random sequence generation for gene simulations, employing a unique method of shuffling defined values in RAM using random offsets, which enhances the efficiency of simulations utilizing gene data.

Career Highlights: Raphael C. Polig is affiliated with the International Business Machines Corporation (IBM), where he applies his expertise in a collaborative environment aimed at driving innovation. His career is marked by a focus on advanced computational systems and gene research applications, underlining his role as a key player in technological advancements.

Collaborations: Throughout his career, Raphael has worked alongside esteemed colleagues, including Heiner Giefers and Christoph M. Angerer. These collaborations have contributed to the development of groundbreaking technologies that enhance IBM's portfolio in artificial intelligence and biotechnology.

Conclusion: As a prolific inventor, Raphael C. Polig continues to influence the tech landscape with his innovative patents and contributions to deep learning and gene simulation technologies. His commitment to advancing these fields positions him as a notable figure in the global innovation ecosystem.

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