Neuro-Symbolic AI Architecture

Neuro-Symbolic AI Architecture

Symbolic Mind presents a new approach to AI that combines hierarchical symbolic reasoning and planning with the deep intuition of neural networks

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Summary

Adaptable, Hierarchical Neuro-Symbolic AI

Adaptable, Hierarchical Neuro-Symbolic AI

Efficient Intelligence, Inspired by the Brain

Works efficiently with limited resources — more like the brain, unlike traditional LLMs.

Works efficiently with limited resources — more like the brain, unlike traditional LLMs.

Works efficiently with limited resources — more like the brain, unlike traditional LLMs.

Dramatically reduces training and inference costs

A language model with training and inference costs 100X+ lower than Transformers.

A language model with training and inference costs 100X+ lower than Transformers.

A language model with training and inference costs 100X+ lower than Transformers.

Continual Learning, Without Retraining

Supports continual learning through targeted updates.

Supports continual learning through targeted updates.

Supports continual learning through targeted updates.

Enables traceable reasoning

Designed to enable traceable reasoning, making AI decisions more understandable, controllable, and reliable.

Designed to enable traceable reasoning, making AI decisions more understandable, controllable, and reliable.

Designed to enable traceable reasoning, making AI decisions more understandable, controllable, and reliable.

Unlocks innovative business models

Turn AI innovation into a business advantage.

Turn AI innovation into a business advantage.

Turn AI innovation into a business advantage.

Ensures IP protection and ownership

Your data stays with you. Your IP grows. Full control, no compromises.

Your data stays with you. Your IP grows. Full control, no compromises.

Your data stays with you. Your IP grows. Full control, no compromises.

Deep Control

Evolving AI Intelligently

AI must evolve beyond brute-force computation and embrace efficient, structured intelligence. Symbolic Mind introduces Deep Control, a neuro-symbolic AI architecture.

AI must evolve beyond brute-force computation and embrace efficient, structured intelligence. Symbolic Mind introduces Deep Control, a neuro-symbolic AI architecture.

AI must evolve beyond brute-force computation and embrace efficient, structured intelligence. Symbolic Mind introduces Deep Control, a neuro-symbolic AI architecture.

  • Hierarchical Symbolic Reasoning.


    Enabling long-term planning and structured problem-solving.

  • Efficient Neural Processing.


    Allowing intuitive pattern recognition without excessive computation.

  • Adaptive, Contextual Learning.


    Integrating new knowledge dynamically while retaining experience.

  • Hierarchical Symbolic Reasoning.


    Enabling long-term planning and structured problem-solving.

  • Efficient Neural Processing.


    Allowing intuitive pattern recognition without excessive computation.

  • Adaptive, Contextual Learning.


    Integrating new knowledge dynamically while retaining experience.

  • Hierarchical Symbolic Reasoning.


    Enabling long-term planning and structured problem-solving.

  • Efficient Neural Processing.


    Allowing intuitive pattern recognition without excessive computation.

  • Adaptive, Contextual Learning.


    Integrating new knowledge dynamically while retaining experience.

FAQ

Frequently Asked Questions

Frequently Asked Questions

Can I train models using my data?

Do I need GPUs to use your solution?

How customizable is the solution for my specific use case?

What makes your solution faster or more efficient than other AI systems?

How does your solution help reduce AI costs?

Is your system explainable and traceable?

How does your solution handle data privacy and IP ownership?

Can I train models using my data?

Do I need GPUs to use your solution?

How customizable is the solution for my specific use case?

What makes your solution faster or more efficient than other AI systems?

How does your solution help reduce AI costs?

Is your system explainable and traceable?

How does your solution handle data privacy and IP ownership?

Can I train models using my data?

Do I need GPUs to use your solution?

How customizable is the solution for my specific use case?

What makes your solution faster or more efficient than other AI systems?

How does your solution help reduce AI costs?

Is your system explainable and traceable?

How does your solution handle data privacy and IP ownership?

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