John Charles Weast

Portland, OR, United States of America

John Charles Weast

This inventor holds 100 USPTO granted patents and 31 published patent applications and 24 EPO patents, primarily in Machine Learning Optimization (CPC class G06T1-20). Top assignees: Intel Corporation, Tahoe Research, Ltd.. Active years: 2005-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: John Charles Weast. Retrieved from https://idiyas.com/inventor/john-charles-weast

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

Calculating rank
USPTO Granted Patents = 100 

% Patents Active = 81.0

 

Average Co-Inventor Count = 3.5

ph-index = 8

Forward Citations = 524(Granted Patents)

Forward Citations (Not Self Cited) = 467(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Hillsboro, OR (US) (2005 - 2008)
  • Porland, OR (US) (2011 - 2018)
  • Phoenix, AZ (US) (2021 - 2023)
  • Portland, OR (US) (2012 - 2024)

Company Filing History:


Years Active: 2005-2026

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Areas of Expertise:
Neural Network Optimization
Graphics Processors
Autonomous Vehicles
Data Compression
Dynamic Training
Safety Monitoring
Machine Collaboration
Tissue-Conducted Sound
Accident Avoidance
Simulation Systems
Low Precision Operations
Message Assurance
100 patents (USPTO):Explore Patents

Title: John Charles Weast - A Prolific Inventor in Compute Optimization and Machine Learning

Introduction:

John Charles Weast, a prominent inventor based in Portland, OR (US), has made significant contributions to the fields of compute optimization and machine learning. With an impressive number of 87 patents under his belt, Weast continues to push the boundaries of technology and innovation.

Latest Patents:

Among his latest patents is the "Compute Optimization Mechanism," which focuses on enhancing compute optimization through a mixed precision core. This apparatus incorporates mixed-precision execution circuitry to execute mixed-precision instructions, enabling precise dot-product operations for improved efficiency.

Another groundbreaking patent by Weast is the "Barriers and Synchronization for Machine Learning at Autonomous Machines," a method designed to detect thread groups related to machine learning and facilitate barrier synchronization across multiple processing devices. This innovation enhances the performance of machine learning algorithms in autonomous systems.

Career Highlights:

Throughout his career, John Charles Weast has worked with top-tier companies such as Intel Corporation and Tahoe Research, Ltd. At Intel, he honed his skills in hardware design and optimization, contributing to the development of cutting-edge technologies. His time at Tahoe Research, Ltd. allowed him to delve deeper into machine learning research, where he made notable advancements in the field.

Collaborations:

Weast has collaborated with esteemed professionals in the industry, including Abhishek R Appu and Altug Koker. Together, they have worked on innovative projects that have shaped the landscape of compute optimization and machine learning.

Conclusion:

John Charles Weast's relentless pursuit of innovation and his passion for pushing technological boundaries have solidified his reputation as a leading inventor in the field of compute optimization and machine learning. With a wealth of patents and a track record of successful collaborations, Weast continues to make a lasting impact on the world of technology.

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]
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