Southampton, United Kingdom

Richard Harry Hopkins

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2011-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard Harry Hopkins. Retrieved from https://idiyas.com/inventor/richard-harry-hopkins

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 3.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2011-2021

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3 patents (USPTO):Explore Patents

Title: Innovations by Richard Harry Hopkins

Introduction

Richard Harry Hopkins is a notable inventor based in Southampton, GB. He has made significant contributions to the field of computational systems through his innovative patents. With a total of three patents to his name, Hopkins has focused on utilizing machine learning to enhance the reliability of computing environments.

Latest Patents

One of his latest patents involves using a machine learning module to perform preemptive identification and reduction of risk of failure in computational systems. This patent describes a method where input on various attributes of a computing environment is provided to a machine learning module. The output is a risk score that indicates the likelihood of potential malfunctioning within the computing environment. If the risk score exceeds a predetermined threshold, an indication is transmitted to alert that a malfunction is likely to occur. Consequently, modifications are made to the computing environment to prevent such malfunctions.

Another significant patent by Hopkins focuses on training a machine learning module to perform preemptive identification and reduction of risk of failure in computational systems. This process involves receiving inputs that comprise attributes affecting the likelihood of failure. When an event occurs in the computing environment, a risk score is generated, indicating the predicted likelihood of failure. A margin of error is calculated by comparing the generated risk score to an expected risk score. Adjustments are then made to the weights of links interconnecting nodes within the machine learning module to reduce the margin of error and improve the predicted likelihood of failure.

Career Highlights

Richard Harry Hopkins is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with other talented individuals in the field of technology and innovation.

Collaborations

Some of his notable coworkers include James E Olson and Micah Robison. Their collaborative efforts contribute to the advancement of technology and the development of innovative solutions in computational systems.

Conclusion

Richard Harry Hopkins is a distinguished inventor whose work in machine learning and computational systems has led to significant advancements in the field. His innovative patents reflect his commitment to improving the reliability of computing environments.

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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