Liquid Instruments has integrated AI into its Moku platform, including a new instrument, the Moku Neural Network. The added capabilities enable the quick deployment of machine learning models to physical systems, for applications including signal analysis, denoising, sensor conditioning, and closed loop feedback. The Moku platform uses field-programmable gate arrays (FPGAs) to deliver a suite of instruments — from bench essentials including an oscilloscope to advanced tools including a lock-in amplifier — on one device. The Moku Neural Network enables users to rapidly develop and train their own artificial neural networks with Python and upload them to their Moku:Pro device. Liquid Instruments is also adding a generative AI tool to provide quick answers to users’ product questions. The latest advancement comes after the company integrated the ChatGPT language model into its Moku family of products last year.