edabk-hust/edabk_brain_soc

A project dedicated to developing a hardware Integrated Circuit (IC) for a Spike Neural Network (SNN), powered by the RTL code generated by ChatGPT-4 with advanced optimizations.

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/ 100
Emerging

This project offers a specialized hardware component (an Integrated Circuit, or IC) designed for running Spike Neural Networks (SNNs) efficiently. It takes in SNN model parameters and input data, then processes them to produce neural spike outputs. This is for hardware engineers or embedded systems designers looking to integrate energy-efficient and real-time capable neural network processing into their chip designs.

No commits in the last 6 months.

Use this if you are developing custom silicon or an embedded system that requires low-power, real-time neural network inference and are familiar with RISC-V architecture.

Not ideal if you are looking for a software-only SNN solution or a general-purpose AI accelerator, or if you do not have hardware design expertise.

ASIC design neuromorphic computing embedded AI RISC-V architecture hardware-software co-design
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

66

Forks

11

Language

Verilog

License

Apache-2.0

Last pushed

Feb 18, 2024

Commits (30d)

0

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