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HIVEMIND CORE


MACHINE BEHIND THE MACHINE

Edge Experience, Core Memory

Automated data pipelines move data from Hivemind Edge to Hivemind Core where real and synthetic experiences become a memory bank which drives relentless learning and advancement of the AI system. 

Photorealistic Simulation

Developers from world class movie and game studios, recognized for creating computer-generated imagery indecipherable from the real world, built the core of Shield AI’s simulation system. Photorealistic simulation means light distortion, smudged camera lens, dust, and nighttime conditions can be rendered. Developers can rapidly generate scenarios too varied, complex, and expensive to realize in real life.  
 

DEPLOY, LEARN & REPEAT

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Deploying systems in the real-world to perform experiments or generate data sets is expensive and risky. Capturing real world data once, generating synthetic data at scale, and using both in simulation is far more cost-effective and scalable. Hivemind can deploy variations of AI capabilities on real-world and synthetic data at scale, over and over to discover which perform best. These enable optimization of AI parameters, while empowering developers to discover what works best.

Everything You Need, Nothing You Don’t

High-fidelity simulation environments are effective, but not always required. Barebones simulation and testing strips away the complexity and executes parameter learning, regression analysis at maximum speed and a fraction of the cost.
 

Agile, Rapid & Purposeful Environment Creation

Hivemind Core leverages a custom simulation framework purpose-built for AI development that can run on top of Unity and Unreal, enabling rapid real-time editing and experiment design. Synthetic environment creation is expedited without sacrificing fidelity allowing unmanned systems to train and learn at increased rates.
 

TRUSTWORTHY AI

Hivemind Core provides the framework and tools for human understanding of AI solutions.

Trust & Verify

AI behavior is difficult to understand and explain. Without appropriate design and tooling, resolving why an AI made a decision can be difficult. Hivemind Core pairs with Hivemind Edge to provide developers the tools to understand AI decision making and, in doing so, establish trusted systems.

No More Needles in Haystacks

In an identical sequence of events, AI may exhibit an anomaly behavior 1 of 10,000 times or less. Data introspection tools and careful thread-handling within Hivemind Edge software enables deterministic playback of events, making problems reproducible. Developers are empowered to identify and solve these problems at high speed.

Large-Scale Data Handling

A single Nova 2 running Hivemind Edge can log 100 gigabytes of sensor and telemetry data per hour. Scalable data and processing pipelines ensure that ingestion and movement of data is responsive and cost effective. Pruning strategies focus analysis resources on what matters most.

Fleet Insights Across Echelons & Domains

Hivemind Core is integrating secure global data pipelines in the approachable future. Software updates will be pushed to Hivemind Edge systems and service members can upload data back to Hivemind Core for learning, analysis, and dissemination. With the future emergence of intelligent swarms, fleet insights from advanced analytics can contribute to informing tactical, operational, and strategic levels of command.
 

Synthetic Training for Real-World Operations

High-fidelity synthetic environments are the training grounds of the future. Hivemind Core is designed for modularity and integration. With Hivemind Core and connected simulators, humans and machines will be able to rapidly iterate across a multitude of operational environments to refine human-machine tactics and develop best practices in the synthetic world before facing the demands of real-life operations.

LEARNED AT HIVEMIND CORE, OPERATIONALIZED BY HIVEMIND EDGE

Data, developers, and Hivemind Core collaborate to develop and deploy effective skills, tactics, and strategies for battlefield applications. Lessons learned are passed on to Hivemind Edge to deploy and operationalize.

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