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NeuralForge is a Gemini-powered workflow that turns machine learning models into silicon. You describe a neural network in plain English, and NeuralForge converts it into synthesizable Verilog, embedding the trained weights directly into hardware logic. The system then runs a real RTL-to-GDS pipeline, synthesising with Yosys, verifying functionality through simulation, and implementing the design on the SkyWater 130nm PDK using open-source backend tools. AI agents monitor tool outputs, fix design errors, and iterate until the hardware is physically valid. The model isn’t deployed on hardware. It becomes the hardware.

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