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Craig M Trim

Ventura, CA, United States of America

Craig M Trim

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This inventor holds 431 USPTO granted patents and 101 published patent applications and 2 EPO patents, primarily in Artificial Intelligence (CPC class G06N20-00). Top assignees: International Business Machines Corporation, Kyndryl, Inc., Causality Link LLC. Active years: 2013-2026. Education: California State Polytechnic University-Pomona (USA); Capella University (USA).

IDiyas Innovation Intelligence. (2026). Inventor Profile: Craig M Trim. Retrieved from https://idiyas.com/inventor/craig-m-trim

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

Graduated from:
  • California State Polytechnic University-Pomona (USA)
  • Capella University (USA)
Calculating rank
USPTO Granted Patents = 431 

% Patents Active = 60.8

 

Average Co-Inventor Count = 4.2

ph-index = 12

Forward Citations = 971(Granted Patents)

Forward Citations (Not Self Cited) = 746(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Glendale, CA (US) (2015 - 2023)
  • Sylmar, CA (US) (2013 - 2024)
  • Ventura, CA (US) (2019 - 2024)

Company Filing History:

goldMedal411 out of 166,524 
 
International Business Machines Corporation
 patents
silverMedal19 out of 604 
 
Kyndryl, Inc.
 patents
bronzeMedal1 out of 1 
 
Causality Link LLC
 patent

Years Active: 2013-2026

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Areas of Expertise:
Predictive Analytics
Cognitive Question Generation
Data Security
Internet of Things
Augmented Reality
Mobile Automation
Dynamic Media Control
Multimodal Learning
Neural Networks
Data Amalgamation
Virtual Network Functions
Smart Glasses
431 patents (USPTO):Explore Patents
1. 12783935 - Machine learning model selection (2026-11-03),
2. 12596751 - Image synthesis based on predictive analytics (2026-04-07),
3. 12548253 - Operational efficiencies in IOT agricultural ecosystems (2026-02-10),
4. 12505237 - User activity based cognitive question generation (2025-12-23),
5. 12499976 - Network user data delivery (2025-12-16),
6. 12406153 - Dynamic contrarian view analysis in natural language content (2025-09-02),
7. 12321402 - Ordering search results based on a knowledge level of a user performing the search (2025-06-03),
8. 12314870 - Dynamically determining a region of effectiveness of athletes during game play based on predictive factors (2025-05-27),
9. 12299164 - Data security compliance for mobile device applications (2025-05-13),
10. 12236352 - Transfer learning based on cross-domain homophily influences (2025-02-25),
11. 12225605 - Object attribution derivation via crowd-sourced optical sensors (2025-02-11),
12. 12182478 - Determining optimal size and shape of additive manufactured packaging (2024-12-31),
13. 12157498 - Assistance from autonomous vehicle during emergencies (2024-12-03),
14. 12131263 - Dynamic media use control service (2024-10-29),
15. 12118897 - Augmented reality tutorial generation (2024-10-15),

Craig Trim is a distinguished software engineer and inventor, renowned for his significant contributions to artificial intelligence, particularly in natural language processing (NLP) and deep learning. Over a prolific 20-year tenure at IBM, Trim was instrumental in the development and deployment of advanced AI solutions, amassing over 400 filed patents.

In 2020, Trim joined Causality Link as a Senior Software Engineer specializing in NLP. In this role, he led initiatives to enhance the company's AI-driven research platform, focusing on expanding data source integration, accelerating data processing, and extracting deeper insights.

Trim's expertise encompasses the convergence of semantic web technologies and deep learning, aiming to advance feature engineering and model explainability. His innovative work in ontology learning and knowledge graph generation has been pivotal in uncovering complex data relationships, thereby enhancing the interpretability of AI models.

Recognized as a top AI inventor, Trim's patent portfolio includes 200 plus patents in the AI domain, spanning 144 unique patent families.

Trim's enduring passion for technological innovation continues to drive advancements in AI, solidifying his status as a leading figure in the field.

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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