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Mike Estee Phones & Addresses

  • Portland, OR
  • Livermore, CA
  • 808 31St St, Emeryville, CA 94608
  • Oakland, CA
  • San Francisco, CA

Publications

Us Patents

Graphical User Interface To An Artificial Intelligence Engine Utilized To Generate One Or More Trained Artificial Intelligence Models

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US Patent:
20170213131, Jul 27, 2017
Filed:
Jan 26, 2017
Appl. No.:
15/416988
Inventors:
- Berkeley CA, US
Keen McEwan Browne - Berkeley CA, US
Mike Estee - Oakland CA, US
International Classification:
G06N 3/08
G06F 3/0482
G06N 3/04
G06F 9/44
G06F 17/50
G06N 3/00
Abstract:
Provided herein in some embodiments is an artificial intelligence (“AI”) engine configured to work with a graphical user interface (“GUI”). The AI engine can include an architect module, instructor module, and learner module AI-engine modules. The GUI can be configured with a text editor and a mental-model editor to enable an author to define a mental model to be learned by an AI model, the mental model including an input, one or more concept nodes, and an output. The architect module can be configured to propose a neural-network layout from an assembly code compiled from a source code in a pedagogical programming language, the learner module can be configured to build the AI model from the neural-network layout, and the instructor module can be configured to train the AI model on the one or more concept nodes.

Multiple User Interfaces Of An Artificial Intelligence System To Accommodate Different Types Of Users Solving Different Types Of Problems With Artificial Intelligence

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US Patent:
20170213132, Jul 27, 2017
Filed:
Jan 26, 2017
Appl. No.:
15/417033
Inventors:
- Berkeley CA, US
Keen McEwan Browne - Berkeley CA, US
Mike Estee - Oakland CA, US
International Classification:
G06N 3/08
G06N 3/04
G06F 17/50
Abstract:
Provided herein in some embodiments is an artificial intelligence (“AI”) engine configured to operate with multiple user interfaces to accommodate different types of users solving different types of problems with AI. The AI engine can include AI-engine modules including an architect module, an instructor module, and a learner module. An assembly code can be generated from a source code written in a pedagogical programming language. The architect module can be configured to propose a neural-network layout from the assembly code; the learner module can be configured to build the AI model from the neural-network layout; and the instructor module can be configured to train the AI model built by the learner module. The multiple user interfaces can include an integrated development environment, a web-browser interface, or a command-line interface configured to enable an author to define a mental model for the AI model to learn.
Mike Estee from Portland, OR, age ~46 Get Report