Liquid Instruments has just launched Moku Version 3.3, bringing cutting-edge updates to Moku and other devices. Here’s a quick look at the new features and how they can support advanced research applications.
Moku Neural Network on Moku
The new Moku Neural Network leverages FPGA power for real-time machine-learning applications like signal analysis, denoising, and sensor conditioning. It supports up to five fully connected layers and can be programmed in Python, giving researchers the flexibility to build and deploy custom neural networks.
AI Help for Quick Assistance
The AI Help tool now provides instant answers to common questions about Moku devices directly from the app. It’s designed to save time and increase lab efficiency by delivering information quickly and accurately.
Enhanced Instrumentation Features
- Higher-Order Filters: The Digital Filter Box now supports up to 16th-order filters on Moku, delivering sharper performance.
- Triggered Data Logging: Start data logging with an external trigger, making it easier to sync data collection with real-time experiments.
- Expanded Oscilloscope Channels: Moku now offers four oscilloscope channels in Multi-instrument Mode, allowing for more concurrent signal monitoring.
Upgrading to Moku 3.3 is free for current users, while Moku.
Full-Suite users can access the Neural Network at no extra cost (or with a license update for others). For more details, check out Liquid Instruments’ resources and guides.
Discover here how Moku’s new features can benefit your research and streamline your workflow:
