This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Google Inc.. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Martin Christoph Maas: Innovator in Deep Learning Technologies
Introduction
Martin Christoph Maas is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of deep learning and data management, holding a total of 3 patents. His work focuses on creating efficient systems that enhance the performance of deep learning models while minimizing power consumption.
Latest Patents
One of his latest patents is titled "Synthesizing zero-loss low-power approximate DNN accelerators with large-scale search." This patent describes systems and methods for designing approximate, low-power deep learning accelerator chips that maintain little to no accuracy loss when executing deep learning models. The innovation involves generating a set of approximate systolic arrays and determining the performance of each array in processing a deep neural network (DNN). The design process includes mapping each layer of the DNN to an approximate systolic array and selecting a subset of arrays for inclusion in the inference chip design based on performance metrics.
Another notable patent is "Data management forecasting from distributed tracing." This invention outlines a computer-implemented method that utilizes machine learning to improve data handling efficiency in computing systems. The method involves obtaining a handling request for a data item, analyzing a trace log from distributed services, and using a data characteristic prediction model to select the most suitable handling operation based on predicted data characteristics.
Career Highlights
Martin Christoph Maas is currently employed at Google Inc., where he continues to push the boundaries of technology in deep learning and data management. His innovative approaches have positioned him as a key player in the tech industry, contributing to advancements that benefit various applications.
Collaborations
Some of his notable coworkers include Giulio Zhou and Azalia Mirhoseini, who collaborate with him on various projects within the realm of deep learning and data management.
Conclusion
Martin Christoph Maas is a distinguished inventor whose work in deep learning technologies and data management has led to significant advancements in the field. His innovative patents reflect his commitment to enhancing efficiency and performance in computing systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
