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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