Solutions

Connect machine learning algorithms with the physical world

Neural networks that leverage the unique properties of FPGAs can deliver lower latency times compared to other methods, leading to more efficient processing, decision-making, and informed control system feedback. The Moku Neural Network implements deterministic data analysis algorithms for applications where timing is critical, such as quantum control, and can be reconfigured on the fly. Deploy alongside other Moku:Pro test instruments for the ultimate intelligent test system.

Mastering Moku: Introducing the Moku Neural Network

Learn how to implement an FPGA-based neural network for fast, flexible signal analysis, closed-loop feedback, and more. Watch our webinar on demand now.

A test platform you can rely on.

Use the Moku Neural Network to deploy real-time deep learning algorithms in line with your test instruments. Building robust AI requires robust data and deterministic deployment. The powerful Moku API with our flexible, FPGA-based architecture simplifies every step of your neural network development from data collection and training, to low-latency, real-time deployment.

Intelligent, adaptive test

Process data in real time without communicating back and forth with a PC to simplify experiments where speed is paramount.

Integrated machine learning

For rapid signal analysis or fast feedback, run the Moku Neural Network alongside other Moku test instruments in Multi-instrument Mode.

Accessible network development

You don’t need to be a machine learning expert to build a neural network. With Moku:Pro and pre-built Python notebooks, you’re minutes away from implementing your own real-time neural network.

Build neural-network-based control schemes

Tune PID parameters on the fly with real-time feedback. In complex control scenarios, the Moku Neural Network simplifies parameter adjustment and decision-making by reducing the both the mathematics involved before testing and the post-processing usually required afterward.

Simplify unpredictable data

Classify complex signals or detect anomalies by building a neural network classifier. Identify when a trigger signal has occurred or if an anomaly is present. Then, output the likelihood of occurrence to the analog outputs or another embedded Moku instrument for fast, simple signal analysis.

Engineered for demanding applications

Moku:Pro delivers a reconfigurable suite of test and measurement instruments in one FPGA-based device. Deploy up to three other instruments alongside custom neural networks to tackle application such as:

  • Complex, real-time control systems
  • Denoising time-domain signals
  • Quantum control schemes
  • Signal anomaly classification
Female engineer with Moku:Pro and the Neural Network

About Liquid Instruments

Liquid Instruments delivers modern, software-defined test and measurement solutions that provide advanced capabilities, a great user experience, and custom programmability for maximum flexibility and performance in a range of applications.