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Yan Breek

from Berkeley, CA
Age ~59
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Also known as:
Yan Dreek, Breek Yan
Connected to:
Frank Breek, 73Dorinda D Breeland, 79Jonathan P Breeland, 36Kevin M Breeland, 68Suzanne Breeland, 53Julie Breeler, 62David A Breelove, 62Malesa S Breelove, 37Paul P Breemen, 58Kevin S Breemes, 48

Yan Breek Phones & Addresses

  • Berkeley, CA
  • 1731 Oswald Pl, Santa Clara, CA 95051
  • 1224 Pennyroyal Ter, Sunnyvale, CA 94087 (408) 730-0060
  • Mountain View, CA
  • Newbury Park, CA
  • Lexington, KY
  • San Jose, CA
  • Los Altos, CA
  • 1224 Pennyroyal Ter, Sunnyvale, CA 94087

Work

Position: Administrative Support Occupations, Including Clerical Occupations

Education

Degree: Associate degree or higher

Business Records

Name / Title
Company / Classification
Phones & Addresses
Yan Breek
President
SOFTWARE UNLIMITED, INC
133 S Mary Ave, Sunnyvale, CA 94086
1669 Hollenbeck Ave, Sunnyvale, CA 94087

Publications

Us Patents

Gamer Training Using Neural Networks

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US Patent:
20220274018, Sep 1, 2022
Filed:
May 19, 2022
Appl. No.:
17/748975
Inventors:
- Santa Clara CA, US
Yan Breek - Santa Clara CA, US
Alexey Solovey - Los Gatos CA, US
Evgeny Tumanov - Moscow, RU
International Classification:
A63F 13/53
G06N 3/08
G06K 9/62
G06N 5/04
G06N 20/00
Abstract:
Personalized coaching is provided to users of an application, such as players of an electronic gaming application. Data can be obtained that demonstrates how skilled users utilize an application, such as how professional players play a game. This data can be used to train a machine learning model for the game. Gameplay data for an identified player can be obtained, and related information provided as input to the trained model. The model can infer one or more actions or strategies to be taken by the player in order to achieve a determined goal. The information can be conveyed to the player using visual, audio, or haptic guidance during gameplay, or can be provided offline, such as with video or rendered replay of the game session. The types of advice or coaching given can vary depending upon factors such as the goals, skill level, and preferences of the player, and can update over time.

Gamer Training Using Neural Networks

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US Patent:
20200269136, Aug 27, 2020
Filed:
Feb 27, 2019
Appl. No.:
16/287670
Inventors:
- Santa Clara CA, US
Yan Breek - Santa Clara CA, US
Alexey Solovey - Los Gatos CA, US
Evgeny Tumanov - Moscow, RU
International Classification:
A63F 13/53
G06N 3/08
G06N 20/00
G06N 5/04
G06K 9/62
Abstract:
Personalized coaching is provided to users of an application, such as players of an electronic gaming application. Data can be obtained that demonstrates how skilled users utilize an application, such as how professional players play a game. This data can be used to train a machine learning model for the game. Gameplay data for an identified player can be obtained, and related information provided as input to the trained model. The model can infer one or more actions or strategies to be taken by the player in order to achieve a determined goal. The information can be conveyed to the player using visual, audio, or haptic guidance during gameplay, or can be provided offline, such as with video or rendered replay of the game session. The types of advice or coaching given can vary depending upon factors such as the goals, skill level, and preferences of the player, and can update over time.
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Yan Breek from Berkeley, CA, age ~59 Get Report