Jeffrey Charles Hawkins

This inventor holds 148 USPTO granted patents and 12 published patent applications, plus 1 CIPO patent and 2 EPO patents, primarily in Sensorimotor Processing (CPC class G06N3-049). Top assignees: Numenta, Inc., Palm, Incorporated, Hewlett-Packard Development Company, L.p.. Active years: 1991-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeffrey Charles Hawkins. Retrieved from https://idiyas.com/inventor/jeffrey-charles-hawkins

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

USPTO Granted Patents = 148 (Patent Applications = 12)

% Patents Active = 74.3

CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 2 (Patent Applications = 3)

Average Co-Inventor Count = 2.7

ph-index = 41

Forward Citations = 8,336(Granted Patents)

Forward Citations (Not Self Cited) = 7,680(Dec 10, 2025)

Inventors with similar research interests:

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Location History:

Redwod City, CA (US) (2001)
Sunnyvale, CA (US) (2009 - 2018)
Redwood City, CA (US) (1991 - 2019)
Atherton, CA (US) (2002 - 2024)

Company Filing History:

Hewlett-Packard Development Company, L.p.

Qualcomm Incorporated

Access Systems Americas, Inc.

Hewlett-Packard Company

13. 2 out of 834,570

Other

patents

where one patent can have more than one assignee

Years Active: 1991-2026

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Areas of Expertise:

Sensorimotor Input

Temporal Memory

Sparse Distributed Representation

Anomaly Detection

Sequence Learning

Hierarchical Memory

Integrated Personal Digital Assistant

Feedback Mechanisms

Multistep Prediction

Location Processing

Machine Intelligence

148 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12688605 - Communication protocol for inference system (2026-07-21),

2. 12361303 - Displacement processor for inferencing and learning based on sensorimotor input data (2025-07-15),

3. 12254409 - Location processor for inferencing and learning based on sensorimotor input data (2025-03-18),

4. 12094192 - Inferencing and learning based on sensorimotor input data (2024-09-17),

5. 12093847 - Temporal processing scheme and sensorimotor information processing (2024-09-17),

6. 12093843 - Inferencing and learning based on sensorimotor input data (2024-09-17),

7. 11966831 - Feedback mechanisms in sequence learning systems with temporal processing capability (2024-04-23),

8. 11657278 - Location processor for inferencing and learning based on sensorimotor input data (2023-05-23),

9. 11651277 - Sparse distributed representation for networked processing in predictive system (2023-05-16),

10. 11537922 - Temporal processing scheme and sensorimotor information processing (2022-12-27),

11. 11270202 - Temporal memory using sparse distributed representation (2022-03-08),

12. 11195082 - Feedback mechanisms in sequence learning systems with temporal processing capability (2021-12-07),

13. 11100414 - Inferencing and learning based on sensorimotor input data (2021-08-24),

14. 11087227 - Anomaly detection in spatial and temporal memory system (2021-08-10),

15. 10977566 - Inferencing and learning based on sensorimotor input data (2021-04-13),

Title: The Innovations of Jeffrey Charles Hawkins: Revolutionizing Sensorimotor Inference Systems

Introduction:

Jeffrey Charles Hawkins, a prominent inventor based in Atherton, California (US), has made significant contributions to the field of sensorimotor inference systems. With an impressive portfolio of 121 patents, Hawkins is known for his groundbreaking work in developing innovative technologies that integrate sensory inputs and control information to enable object recognition and predictive processing.

Latest Patents:

Among his latest patents is the "Location Processor for Inferencing and Learning Based on Sensorimotor Input Data." This cutting-edge system allows for object recognition by learning object-location representations and feature-location associations from sensory inputs and control information.

Another notable patent is the "Sparse Distributed Representation for Networked Processing in Predictive System." This patent showcases Hawkins' expertise in developing processing nodes that use spatial pooling and sequence processing to recognize and predict temporal sequences in input signals.

Career Highlights:

Hawkins has had a prolific career, with significant contributions at companies such as Numenta, Inc. and Palm, Incorporated. His work has not only revolutionized the field of sensorimotor inference systems but has also paved the way for advancements in predictive technology.

Collaborations:

Throughout his career, Hawkins has collaborated with talented individuals such as Robert Yuji Haitani and William B Rees. These collaborations have been instrumental in driving innovation and pushing the boundaries of what is possible in the field of predictive processing.

Conclusion:

In conclusion, Jeffrey Charles Hawkins stands as a trailblazer in the realm of sensorimotor inference systems. His ingenuity, coupled with his relentless pursuit of innovation, has led to the development of transformative technologies that have the potential to reshape the way we interact with and understand the world around us. Hawkins' work serves as an inspiration for aspiring inventors and underscores the power of innovation in driving progress and change.

Profile summary based on public USPTO records.