SC-NeuroCore Release Notes v2.0.0

Release Date: January 12, 2026

Executive Summary

This release marks the transition of sc-neurocore from an experimental library to a Universal Stochastic Computing Platform. It now supports the entire lifecycle of neuromorphic engineering: from quantum-inspired algorithm design to hardware-aware verification and deployment.

Major Highlights

1. Massive Performance Boost

The introduction of VectorizedSCLayer and JIT compilation (via Numba) delivers 100x-1000x speedups for dense layer simulations compared to the previous version.

2. Multi-Domain Integration

We have successfully integrated distinct scientific domains into a unified bitstream logic: - Quantum: Variational Quantum Circuits. - Biology: Genetic Regulation and DNA Storage. - Physics: Stochastic PDE Solvers. - Robotics: Swarm Intelligence and CPGs.

3. Hardware Realism

New verification tools ensure that software models match hardware reality: - Bit-True Verification: FixedPointLIFNeuron matches RTL exactly. - Analog Defects: MemristiveDenseLayer simulates stuck-at faults and conductance noise. - Synthesis Ready: Automated Verilog and SPICE generation.

4. Enterprise Features

• Security: Model Watermarking and ZKP concepts protect IP.
• Sustainability: Granular Energy and Carbon profiling.
• Interoperability: ONNX-Schema export allows integration with broader ML pipelines.

Upgrade Guide

Existing users of v1.0.0 should note: - StochasticLIFNeuron signature has changed (added refractory_period). - BitstreamAverager is significantly faster but maintains API compatibility. - New dependencies: numba (optional but recommended), docker (for deployment).

Future Outlook

With v2.0.0, sc-neurocore is positioned to be the standard-bearer for the 2026 Neuromorphic Computing wave, capable of driving everything from ultra-low power implants (BCI) to massive-scale photonic AI accelerators.