Run real-time, powerful machine learning algorithms inline with your experimental setups using the Moku Neural Network. 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. Download the quick start guide for a step-by-step checklist to walk you through the process.
Register for immediate access
A quick start guide to tuning a PID Controller
Featuring: PID Controller
Date: March 26, 2025
Key tests to perform to validate MEMS devices
Featuring: Moku:Pro, Frequency Response Analyzer, Time & Frequency Analyzer, Oscilloscope, Spectrum Analyzer, Data Logger
Date: February 24, 2025
A guide to photon counting: Detecting photons and characterizing their behavior
Featuring: Moku:Pro, Time & Frequency Analyzer
Date: September 12, 2024
