Recursive Executive Networks: AI for Physical & Virtual Environments

Jump Ahead:

1. Current Problems for Narrow AI

2. Introducing Recursive Executive Networks

3. Proof of Concept

4. The Road Ahead

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R.E.N. V0.1 Prototype + Digital Microscope (Bitforge Dynamics | 7/1/2025)

Current Problems for Narrow AI

Robot vacuums can move around the home, but they can't sort files on a computer. Meanwhile, AI assistants are capable of transcribing notes, composing emails, and even programming... but they can't walk your dog. What if there was a intelligent network that stayed connected between your personal robot, computer, and smart home?

Our team is thrilled to introduce a new type of AI architecture and proof-of-concept (POC) that is model-agnostic, operates offline if needed, and reasons across physical and virtual environments.

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Introducing Recursive Executive Networks (R.E.N.) for Multi-Domain AI, Robotics, and Smart Homes

Sneak Peek: R.E.N. robot assists with microbiology research, navigating computer OS, and more

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Proof of Concept: R.E.N. V0.1 Prototypes

R.E.N. Prototypes for V0.1 Experiments | Bitforge Dynamics (7/1/25)

As we develop the V1 system (currently V0.1), we have several prototypes that prove our initial concepts for multi-domain reasoning:

• REN_ROVER for physical navigation and manipulation

• REN_AI for virtual navigation and desktop assistance

Longer demo videos coming soon!

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The Road Ahead

Bitforge Dynamics is currently working with multiple researchers from universities and institutions within the United States to develop generalized capabilities for the R.E.N. architecture. Please reach out if you would like to support our research or collaborate on cognitive-reasoning in AI, robotics, and smart networks/homes/buildings.

As we develop R.E.N. to be capable of more human-like tasks across multiple domains, stay connected and receive updates by following us on X @bitforgeAGI

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