Andrew Lukefahr

This inventor holds 7 USPTO granted patents. Top assignees: University of Michigan, Arm Limited. Active years: 2017-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Lukefahr. Retrieved from https://idiyas.com/inventor/andrew-lukefahr

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 7

% Patents Active = 100.0

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 6(Granted Patents)

Company Filing History:

7 out of 3,525

University of Michigan

where one patent can have more than one assignee

Years Active: 2017-2022

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7 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11321604 - Systems and devices for compressing neural network parameters (2022-05-03),

2. 11275996 - Systems and devices for formatting neural network parameters (2022-03-15),

3. 10613866 - Method of detecting repetition of an out-of-order execution schedule, apparatus and computer-readable medium (2020-04-07),

4. 10310858 - Controlling transition between using first and second processing circuitry (2019-06-04),

5. 9965279 - Recording performance metrics to predict future execution of large instruction sequences on either high or low performance execution circuitry (2018-05-08),

6. 9870226 - Control of switching between executed mechanisms (2018-01-16),

7. 9639363 - Heterogeneity within a processor core (2017-05-02),

Title: The Innovations of Andrew Lukefahr

Introduction

Andrew Lukefahr is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of neural networks, holding a total of 7 patents. His work focuses on the storage and processing of neural network parameters, which is crucial for advancements in artificial intelligence and machine learning.

Latest Patents

Among his latest patents are "Systems and devices for compressing neural network parameters" and "Systems and devices for formatting neural network parameters." The first patent addresses the storage and processing of signals representative of neural network parameters in computing devices, specifically focusing on compressing these signals. The second patent relates to the storage of signals representative of neural network parameters, enhancing the efficiency of data management in computing systems.

Career Highlights

Andrew has worked with notable organizations, including the University of Michigan and Arm Limited. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects that push the boundaries of technology.

Collaborations

Throughout his career, Andrew has collaborated with talented individuals such as Scott Mahlke and Shruti Padmanabha. These partnerships have contributed to the innovative solutions he has developed in the realm of neural networks.

Conclusion

Andrew Lukefahr's contributions to the field of neural networks through his patents and collaborations highlight his role as a key innovator in technology. His work continues to influence advancements in artificial intelligence and machine learning.

Profile summary based on public USPTO records.

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]