News & updates

Automated Test Equipment replaces manual testing with integrated, software-driven systems that deliver speed, precision, and scalability for modern electronics manufacturing.

1/f, or flicker noise, is a key characteristic of semiconductor devices. Learn how to measure and mitigate this phenomenon.

Learn about the improved UI, 8-channel Multi-Instrument Mode, and a variety of extra instrument features

Learn more about how to measure input sensitivity, implement active feedback, and understand event timing resolution

Learn how Moku:Delta delivers best-in-class instrument performance and endless possibilities

Learn about quantum sensing techniques, the advantages of atomic systems, and why choosing the right hardware helps increase precision

Learn about decoding digital feedback signals, improving loop stability, and how Nyquist sampling affects the Moku PID Controller feedback bandwidth.

Learn more about the advantages of photon counting, how to calculate autocorrelation from interval histograms, and integrating your photon counting setup with external triggers

Learn how to remotely configure and test feedback responses in electronic systems.

Learn where to start when tuning a real-time, digital PID Controller using the unit step response method

Find out how to deploy a premade boxcar averager tool using Moku Cloud Compile and ensure optimal data collection

Learn about neural network model sizes and specifications, what types of neural networks Moku supports, and more

Learn how to optimize your Pound-Drever-Hall (PDH) locking setup, perform RIN measurements, and determine the best FPGA-based Moku device for your research

Learn how to use the Moku Neural Network to create a simple network, from downloading prerequisites to testing it on Moku:Pro

Learn new ways to advance experimental research with neural networks, and the advantages of an FPGA-based approach

Connect AI to the physical world with the new Neural Network for Moku:Pro, find answers quickly with AI Help, and more

Get expert tips on generating digital patterns, implementing phase-locked loops, and performing quantum key distribution with reconfigurable instrumentation

Learn how FSO signals are generated, modulated, and detected using optical carriers, and why FPGA-based instrumentation improves this process

Learn how to get data from variables in real time, how to connect to Moku through MATLAB, and how to perform math functions using the FPGA