SC-NeuroCore

SC-NeuroCore v3.7 is the industry's first verified Rust-based neuromorphic compiler designed to convert high-level Python Spiking Neural Network (SNN) definitions into bit-true hardware logic. Running at an impressive 512x real-time speed on standard CPUs, SC-NeuroCore v3.7 enhances the stochastic kernel with a polymorphic engine that supports Hyper-Dimensional Computing (HDC), Vector Symbolic Architectures (VSA), Petri Nets, and fault-tolerant binary streams.

Key Features

• Performance: Achieve processing speeds that are significantly faster than traditional neuromorphic technologies.
• Polymorphic Engine: Versatile architecture supporting a wide range of applications in machine learning and AI.
• Bit-True Equivalence: Ensures hardware logic fidelity, verified against SystemVerilog hardware co-simulation, with 8/8 tests passed.

Quick Start Example

Install the package using pip:

pip install sc-neurocore-engine

Begin using the SC-NeuroCore engine:

import sc_neurocore_engine
print(sc_neurocore_engine.__version__)  # Output: 3.7.0

Use Cases

1. SNN Dense Forward Processing

   from sc_neurocore_engine import DenseLayer
   layer = DenseLayer(n_inputs=784, n_neurons=128, length=1024)
   x = np.random.rand(784)
   y = layer.forward_numpy(x)  # Single sample
   batch = np.random.rand(50, 784)
   Y = layer.forward_batch_numpy(batch)  # 50 samples in one call
   

2. Hyper-Dimensional Computing (HDC)

   from sc_neurocore_engine import HDCVector
   # Encode knowledge using 10,000-bit hypervectors
   

3. Stochastic Petri Net Simulation

   from sc_neurocore_engine import PetriNetEngine
   engine = PetriNetEngine({...})
   for _ in range(10):
       engine.step()
   
   print(engine.marking)  # Token distribution
   

4. Fault-Tolerant Logic

   from sc_neurocore_engine import BitStreamTensor
   t = BitStreamTensor.from_packed([...])
   

5. IR Compilation to SystemVerilog

   from sc_neurocore_engine import ScGraphBuilder
   b = ScGraphBuilder("my_net")
   sv_code = ir_emit_sv(b.build())
   

Performance Benchmarks (v3.7.0)

Explore SC-NeuroCore for applications in industrial control, AI, biocomputing R&D, and more. Access detailed API documentation at anulum.github.io/sc-neurocore.