Boeblingen, Germany

Michael M Skubowius


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2018-2020

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3 patents (USPTO):

Title: Michael M Skubowius: Innovator in Floating-Point Value Aggregation

Introduction

Michael M Skubowius is a notable inventor based in Böblingen, Germany. He has made significant contributions to the field of computer memory and floating-point value aggregation. With a total of 3 patents to his name, Skubowius continues to push the boundaries of innovation in technology.

Latest Patents

Skubowius's latest patents include groundbreaking methods for enhancing the accuracy of floating-point number summation. One of his patents focuses on generating data structures for computer memory, where provisional data structures are created with specific significands and exponents. This innovation allows for the modification of provisional data structures to represent values expressible by a limited number of memory bits. Another patent details a method for improving the accuracy of sums of floating-point numbers by generating provisional numbers and utilizing a surjective map to enhance the summation process.

Career Highlights

Michael M Skubowius is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in computer science and engineering. His work has been instrumental in developing advanced algorithms and data structures that improve computational efficiency and accuracy.

Collaborations

Throughout his career, Skubowius has collaborated with esteemed colleagues, including Oliver Draese and Knut Stolze. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Michael M Skubowius stands out as a prominent inventor in the realm of floating-point value aggregation and computer memory. His contributions continue to influence the technology landscape, showcasing the importance of innovation in advancing computational methods.

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