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 using Moku:Pro. Build and train models using Python, then deploy to your test systems using Moku:Pro to achieve low-latency inference and react quickly to changing experimental conditions.
Key benefits of the Moku Neural Network
Optimise experiments with real-time machine learning, dynamic decision-making, and more efficient data processing.
Make data processing fast, easy, and intelligent
Train your network to identify specific signal anomalies, trigger occurrences, beam position, and more. When the signals you’re working with are difficult to define or require extensive post-processing to analyse, use the Moku Neural Network to perform intelligent real-time analysis.
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. Many systems require inputs that are difficult to determine in advance for a particular control action — the Moku Neural Network intelligently analyses the inputs to provide fast, effective feedback.
Make machine learning accessible and effective
The Moku Neural Network is engineered to optimise lab setups for every researcher, not just deep learning experts. 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
Moku features API support for Python, MATLAB, LabVIEW, and more, allowing for straightforward integration of Moku with your technology stack.
