• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. W
  4. Wat…
  5. WATSON Jeff
🔗 Permalink
Inventor profile of:

Jeff WATSON

City:

Edmonton

Country:

Canada

Published Applications:

5

Last publication date:

2021-11-18

Top Assignees for applications by Jeff WATSON

The entities that hold a legal rights for patent applications filed by inventor WATSON Jeff:

  • Polyphase Engineered Controls 1 Edmonton, Canada
  • ADEPT AI SYSTEMS INC. 1 Acheson, Canada

Recent patent applications by WATSON Jeff

Jeff WATSON from Edmonton, CA has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2021-11-18
US20210356918A1
Physics

METHOD AND APPARATUS FOR ARTIFICALLY INTELLIGENT MODEL-BASED CONTROL OF DYNAMIC PROCESSES USING PROBABILISTIC AGENTS

#2 | 2020-06-25
US20200201267A1
Physics

METHOD AND APPARATUS FOR ARTIFICALLY INTELLIGENT MODEL-BASED CONTROL OF DYNAMIC PROCESSES USING PROBABILISTIC AGENTS

#3 | 2017-08-17
US20170235284A1
Physics

METHOD AND APPARATUS FOR ARTIFICALLY INTELLIGENT MODEL-BASED CONTROL OF DYNAMIC PROCESSES USING PROBABILISTIC AGENTS

#4 | 2015-05-28
US20150148919A1
Physics

Method and apparatus for artificially intelligent model-based control of dynamic processes using probabilistic agents

#5 | 2005-05-10
US10286180
-

Reciprocating pump control system

InventorID:

1176966 ⎘

  1. Home
  2. Inventor
  3. W
  4. Wat…
  5. WATSON Jeff

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.