Newark, CA, United States of America

Bertrand Allen Maher

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2015-2023

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4 patents (USPTO):Explore Patents

Title: Bertrand Allen Maher: Innovator in Machine Learning and Optimization

Introduction

Bertrand Allen Maher is a notable inventor based in Newark, CA (US). He has made significant contributions to the fields of machine learning and program optimization, holding a total of 4 patents. His work focuses on enhancing the efficiency of data transfer and the flexibility of code optimization.

Latest Patents

One of Maher's latest patents is titled "Reducing data transfer to machine learning accelerator hardware." This invention involves a computer program designed for machine learning accelerators, which optimizes the data size transferred for operations. By identifying when the input data size is smaller than the default, the system ensures that only the necessary data is sent to the hardware, improving efficiency.

Another significant patent is "Rearrangeable code optimization modules." This innovation allows computer programmers to flexibly arrange and execute optimization modules for program code in customizable sequences. It enables the selection of multiple standalone optimizers, forming a pipeline that can be modified by adding, removing, or rearranging modules, thus enhancing the optimization process.

Career Highlights

Throughout his career, Maher has worked with prominent companies such as Facebook, Inc. and Meta Platforms, Inc. His experience in these leading tech firms has contributed to his expertise in machine learning and software optimization.

Collaborations

Maher has collaborated with talented individuals in the industry, including Garret Ray Catron and Jordan Samuel Fix. These collaborations have likely enriched his work and led to innovative solutions in his field.

Conclusion

Bertrand Allen Maher is a distinguished inventor whose work in machine learning and program optimization has made a significant impact. His patents reflect a commitment to improving technology and enhancing efficiency in data processing.

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