The only FPGA-based neural network integrated into a full suite of test and measurement instruments.
Run real-time, powerful machine learning algorithms in line with your experimental setups. Build and train models using Python, then deploy to your test systems using Moku:Delta or Moku:Pro to achieve low-latency inference and react quickly to changing experimental conditions.
Key Benefits
The only test device with a built-in, cost-effective neural network
Built on a powerful FPGA, the Moku Neural Network is a flexible, powerful implementation deployed inline with your other Moku test instruments.
Implement real-time, closed-loop feedback systems
Take in sensor data, an actuator position, or another input signal, and map it to the Moku Neural Network. Then, output an action.
Make machine learning accessible and effective
With intuitive examples, fast training times, and real-time network execution, integrating a neural network into your lab has never been easier.
Engineered to work seamlessly with your preferred APIs
Automate with Python, MATLAB, and LabVIEW APIs for straightforward control of complex setups or repetitive tasks.
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