Decentralized Artificial Intelligence in Distributed Computing and Robotics.
 
 

Technology licensing company known primarily for demonstrating swarm intelligence in robotics.

 
 
 
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We will exhibit our technology at the following conferences:

 

International Conference on Intelligent Robots and Systems (IROS) 2017

Vancouver, Canada, September 24–28, 2017

 

IoT Tech Expo North America 2017

Santa Clara, California, November 29-30

 

Internet of Things World 2018

Santa Clara, California, May 14-17, 2018

 


PROBLEMS TO SOLVE


distributed Processing

Is it possible to perform dynamically scalable distributed processing using heterogeneous processors?

LIMITATIONS

Current solutions allow distributed processing using heterogeneous processors, but are not dynamically scalable.


autonomous robots

Is it possible to build swarm-intelligent robots that allow limitless scalability and endless resiliency?

limitations

A current approach allows scalability and resiliency but lacks swarm-intelligence, as it falls into the realm of flocking. See Harvard University's 1024 Kilobots.

Another approach uses a central computer which allows some coordination, but lacks limitless scalability and endless resiliency. See Intel's 500 Drone Light Show.

SOLUTION

 

Upon researching social insect behavior, we modeled their collective intelligence into an architecture and algorithm that we named

Solidarity Cell Architecture.

 
 
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The Solidarity Cell Architecture enables dynamic-scalable heterogeneous distributed computing, collective intelligence, and intent-based automation at scale with limitless scalability and endless resiliency.

More specifically, this architecture operates using the five principles of swarm intelligence:

Awareness, Autonomy, Solidarity, Expandability and Resiliency.

 

OUR PURPOSE IS TO

DRIVE INNOVATION IN

EMERGING TECHNOLOGIES

POISED TO BENEFIT FROM

COLLECTIVE INTELLIGENCE

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Dynamic-Scalable Edge Computing

Examples:

Self-expanding networks

IoT edge processing

Compute power decentralization

 

Swarm-Intelligent Robots

Examples:

Ground-air reconnaissance

Precision agriculture

Distribution center automation

Distributed Artificial Intelligence

Examples:

Collective machine learning

Automation at scale

Autonomous-agent networks

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