Cambridge, MA, United States of America

Ken Nakayama

This inventor holds 5 USPTO granted patents. Top assignee: Harvard College. Active years: 2017-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ken Nakayama. Retrieved from https://idiyas.com/inventor/ken-nakayama-x2nt61z0

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2017-2021

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5 patents (USPTO):Explore Patents

Title: Ken Nakayama: Innovator in Machine Learning

Introduction

Ken Nakayama is a prominent inventor based in Cambridge, MA (US). He has made significant contributions to the field of machine learning, particularly through his innovative patents. With a total of 5 patents, Nakayama's work focuses on enhancing machine learning systems with human measurements.

Latest Patents

Among his latest patents is a system and method for machine learning enhanced by human measurements. In various embodiments, training objects are classified by human annotators. Psychometric data characterizing the annotation of the training objects is acquired. A human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived. Furthermore, one or more features of a query object are computationally classified based at least in part on the human-weighted loss function.

Career Highlights

Ken Nakayama is affiliated with Harvard College, where he continues to push the boundaries of research in machine learning. His work has garnered attention for its innovative approach to integrating human insights into computational models.

Collaborations

Some of his notable coworkers include Walter Scheirer and Samuel English Anthony. Their collaborative efforts contribute to the advancement of machine learning technologies.

Conclusion

Ken Nakayama's contributions to machine learning through his patents reflect his dedication to innovation in the field. His work continues to influence the integration of human measurements in 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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