Rochester, MN, United States of America

Jeremy John Salsman


Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2007-2021

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2 patents (USPTO):

Title: Innovations by Jeremy John Salsman

Introduction

Jeremy John Salsman is an accomplished inventor based in Rochester, MN (US). He has made significant contributions to the field of technology, particularly in natural language processing and branch prediction control. With a total of 2 patents, Salsman continues to push the boundaries of innovation.

Latest Patents

Salsman's latest patents include "Inferring confidence and need for natural language processing of input data." This invention provides improved data ingestion techniques by receiving a data set comprising records, identifying a group of fields with a common metadata attribute, and determining metrics based on the associated metadata. The invention generates a natural language processing measure and a discreteness measure, which are used to select a processing workflow for data ingestion.

Another notable patent is the "Method, apparatus and computer program product for implementing level bias function for branch prediction control for generating test simulation vectors." This invention involves receiving user-selected options for constraints, reading current resource values for predicting a branch, and generating a branch operand field that defines conditions under which a branch is taken.

Career Highlights

Jeremy John Salsman is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to develop innovative solutions that enhance data processing and simulation techniques.

Collaborations

Salsman has collaborated with notable coworkers, including John Martin Ludden and Troy Biesterfeld. These collaborations have contributed to the advancement of technology in their respective fields.

Conclusion

Jeremy John Salsman is a prominent inventor whose work in natural language processing and branch prediction control has led to valuable patents. His contributions continue to influence the technology landscape, showcasing the importance of innovation in driving progress.

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