AI Consciousness Implementation

A comprehensive implementation of AI consciousness using JAX, Flax, and Optax frameworks with hardware-agnostic design.

Features

• Common-sense reasoning
• Contextual understanding
• Mathematical reasoning
• Emotional intelligence

Hardware Support

• CPU: General-purpose processing
• GPU: Accelerated matrix computations via JAX/CUDA
• TPU: Support via JAX backend

Installation

# Create virtual environment
python -m venv venv
source venv/bin/activate

# Install dependencies
pip install -e .

Project Structure

ai_consciousness/
├── core/           # Core implementations and base classes
├── models/         # Model implementations for different cognitive components
├── utils/          # Utility functions and hardware optimization
└── tests/          # Test suite

Hardware Configuration

The implementation automatically detects and configures itself for the available hardware:

• Uses JAX's automatic device detection
• Supports mixed-precision training
• Implements memory-efficient operations
• Provides hardware-specific optimizations

Development Status

• Alpha stage
• Active development
• Research-focused implementation