{"id":26295,"date":"2025-10-26T23:27:42","date_gmt":"2025-10-26T23:27:42","guid":{"rendered":"https:\/\/liquidinstruments.com\/?page_id=26295"},"modified":"2026-01-15T17:58:03","modified_gmt":"2026-01-15T17:58:03","slug":"generative-instrumentation","status":"publish","type":"page","link":"https:\/\/liquidinstruments.com\/generative-instrumentation\/","title":{"rendered":"Generative Instrumentation"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1729822762524{background-image: url(https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/blob-white.png?id=21218) !important;}&#8221;][vc_column]\n    <div data-component='call_to_action' class='vc_row-fluid cta w-full mx-auto bg-transparent'>\n      <div class='flex w-full gap-4 flex-col items-center'>\n      <div class='wpb_column vc_column_container vc_col-sm-9'><div class='vc_column-inner'>\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/GenInsticon_BLACK-1.png\"\n      srcset=\"\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Generative Instruments\"\n      loading=\"eager\"\n      fetchpriority=\"high\"\n      style=\"aspect-ratio:auto; max-width:80px; margin:0 auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><\/div>\n        <div class='max-w-prose wpb_column vc_column_container vc_col-sm-12'>\n          <div class='vc_column-inner'>\n            \n            <h1 style=\"text-align: center;\">Generative Instrumentation<\/h1>\n<p>Unlock AI-powered customization for test and measurement. With Generative Instrumentation, you can create and deploy entirely new instruments using natural language prompts.<\/p>\n\n          <\/div>\n        <\/div>\n        <div class=' flex flex-row gap-4 xs:flex-col'>\n          \n  \n  \n  <div data-component=\"form_button\" class=\"flex flex-col\">\n  <sl-button class=\"button relative gap-2 items-center blue filled medium  self-center  open-dialog open-69a15050d676e\">\n    Sign up for updates\n  <\/sl-button>\n  <sl-dialog id=\"dialog-69a15050d676e\" label=\"Learn more about Generative Instrumentation\" class=\"dialog-overview\" style=\"--width: 600px;\">\n    <div data-hubspot-form=\"true\" class=\"hubspot-form hs-form-html\" data-hubspot-form-id=\"18077962-6cff-412e-ab1f-ca3ac2eba3a1\" data-hubspot-form-id-zh=\"\" data-hubspot-form-id-ja=\"\" data-hubspot-form-id-ko=\"\"><\/div>\n  <\/sl-dialog>\n<\/div>\n        <\/div>\n      <\/div>\n    <\/div><video loop autoplay playsinline muted class=\"video-local w-full max-w-screen-lg mx-auto rounded-lg\"><source src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/waves.mp4\" type=\"video\/mp4\"><\/video>[\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; disable_element=&#8221;yes&#8221;][vc_column]  <div data-component=\"card_grid carousel\" class=\"card_grid max-w-screen-2xl mx-auto carousel w-full h-auto flex flex-col gap-8\">\n    <div class=\"vc_row container flex flex-col gap-2\">\n      <h2 class=\"text-center\">Neural network examples<\/h2>\n      \n    <\/div>\n    <sl-carousel\n      navigation loop autoplay\n      slides-per-page=\"3\"\n      slides-per-move=\"2\"\n      mouse-dragging\n      class=\"card-carousel\"\n      style=\"--aspect-ratio: unset; --scroll-hint: 64px;\">\n      <sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <a href=\"https:\/\/liquidinstruments.com\/blog\/creating-a-neural-network\/\" title=\"How to build a neural network\" target=\"_blank\" class=\"h-full relative w-full flex flex-col flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-scaled.webp\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-scaled.webp 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-300x200.webp 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-1024x683.webp 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-768x512.webp 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-1536x1024.webp 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-2048x1365.webp 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_180-600x400.webp 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Engineer working on neural network training model with python\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>How to build a neural network<\/h3><span>First, download Python and install Keras for Tensorflow. Build and train your network on data captured from your Moku or from simulation. Once you&#039;re happy with your model performance, upload the weights and biases to your Moku for low-latency inference.<\/span><\/div><\/a>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <a href=\"https:\/\/apis.liquidinstruments.com\/mnn\/examples\/Autoencoder.html\" title=\"Signal autoencoder\" target=\"_blank\" class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-09-at-11.33.25-AM.png\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-09-at-11.33.25-AM.png 908w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-09-at-11.33.25-AM-300x155.png 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-09-at-11.33.25-AM-768x398.png 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-09-at-11.33.25-AM-600x311.png 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Moku Neural Network software interface of dynamic and unpredictable noise filtered out of an input signal generated using the Moku Python API\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block rounded-lg\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Signal autoencoder<\/h3><span>Use the Moku Python API to generate noisy data using your Moku device. Next, train your network on the data. Then use the Moku Neural Network to filter dynamic and unpredictable noise out of an input signal.<\/span><\/div><\/a>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <a href=\"https:\/\/apis.liquidinstruments.com\/mnn\/examples\/Classification.html\" title=\"Signal classification\" target=\"_blank\" class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1.png\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1.png 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1-300x188.png 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1-1024x641.png 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1-768x481.png 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1-1536x962.png 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1-2048x1282.png 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-07-at-11.44.33-AM-1-600x376.png 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"User interface of signal classification conducted with the Moku Neural Network software.\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block rounded-lg\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Signal classification<\/h3><span>This is one of the most common neural network applications. Input data is mapped to a probability distribution across different classes. Build complex pass\/fail criteria in your test, react quickly to changing experimental conditions, or catalog and track the occurrence of expected or anomalous waveforms.<\/span><\/div><\/a>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <a href=\"https:\/\/github.com\/liquidinstruments\/moku-examples\/blob\/main\/neural-network\/Quadrant_Photodiode.py\" title=\"Quadrant photodiode sensing\" target=\"_blank\" class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-scaled.webp\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-scaled.webp 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-300x200.webp 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-1024x683.webp 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-768x512.webp 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-1536x1024.webp 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-2048x1365.webp 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Lock-in-Amplifier-with-Moku-products-1-600x400.webp 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Moku:Lab and Moku:Pro setup with a lock-in amplifier interface on the iPad to conduct quadrant photodiode sensing (QPD).\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block rounded-lg\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Quadrant photodiode sensing<\/h3><span>Precisely measure beam position on your quadrant photodiode (QPD) with minimal calibration. Learn and correct for lens distortions and misalignments in real time, with low latency that won&#039;t affect your controller stability. Training data can be generated and captured with your Moku, or built from simulations of your optical setup.<\/span><\/div><\/a>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <a href=\"https:\/\/apis.liquidinstruments.com\/mnn\/\" title=\"See more examples\" target=\"_blank\" class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-scaled.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-scaled.jpg 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-300x200.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-1024x683.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-768x512.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-1536x1024.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-2048x1366.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2474_liquidinstruments_002-1-1-600x400.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"All three Moku hardware devices, with Multi-instrument mode software running in the background.\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block rounded-lg\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>See more examples<\/h3><span>Download and deploy more pre-built Neural Network models including signal identification, a signal generator, and more.<\/span><\/div><\/a>\n<\/sl-carousel-item>\n    <\/sl-carousel>\n  <\/div>[\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; css=&#8221;.vc_custom_1762386805641{background-image: url(https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/11\/blob-colour.png?id=21324) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column]  <div data-component=\"card_grid grid\" class=\"w-full h-auto flex flex-col gap-8\">\n    <div class=\"flex flex-col max-w-screen-md mx-auto\">\n      <h2 class=\"text-center\">Key benefits<\/h2>\n      <p class=\"text-center p-large\">Optimize experiments with real-time machine learning, dynamic decision-making, and more efficient data processing.<\/p>\n    <\/div>\n    <!-- wrapped in grid for iOS17 -->\n    <div class=\"grid container\">\n      <div class=\"card-grid grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-8\">\n        <sl-carousel-item class=\"card-grid-item featured md:col-span-2 h-full rounded-xl bg-white\">\n  <div class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Untitled-design-11.gif\"\n      srcset=\"\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"User Interface of configuring the Moku Neural Network in Moku Multi-instrument mode\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Make data processing fast, easy, and intelligent<\/h3><span>When the signals you&#039;re working with are difficult to define or require extensive post-processing to analyze, use the Moku Neural Network to perform intelligent real-time analysis.<\/span><\/div><\/div>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <div class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-scaled.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-scaled.jpg 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-300x200.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-1024x683.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-768x512.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-1536x1024.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-2048x1365.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Green-Shirt-Male-Engineer-MokuPro-Computer-Lab-Neon-Screen1-600x400.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Engineer configuring the software app for the Moku Neural Network on his computer\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>The only test device with a built-in, cost-effective neural network<\/h3><span>Built on a powerful FPGA, the Moku Neural Network is a flexible, powerful implementation deployed inline with your other Moku test instruments.<\/span><\/div><\/div>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <div class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM.png\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM.png 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM-300x176.png 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM-1024x600.png 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM-768x450.png 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM-1536x900.png 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM-2048x1200.png 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-11-at-5.22.21-PM-600x352.png 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Moku Multi-instrument mode interface, with 3 slots configured with the digital filter box, neural network, and oscilloscope\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Implement real-time, closed-loop feedback systems<\/h3><span>Take in sensor data, an actuator position, or another input signal, and map it to the Moku Neural Network. Then, output an action.<\/span><\/div><\/div>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <div class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-scaled.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-scaled.jpg 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-300x200.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-1024x683.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-768x512.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-1536x1024.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-2048x1365.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/3020_LiquidInstruments_174-600x400.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Lab setup with two Moku:Pro&#039;s\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Make machine learning accessible and effective<\/h3><span>With intuitive examples, fast training times, and real-time network execution, integrating a neural network into your lab has never been easier.<\/span><\/div><\/div>\n<\/sl-carousel-item><sl-carousel-item class=\"card-grid-item  h-full rounded-xl bg-white\">\n  <div class=\"h-full relative w-full flex flex-col\"><div class=\"aspect-[4\/3] rounded-lg bg-gray-100 p-2 flex items-center justify-center w-full\">\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-scaled.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-scaled.jpg 2560w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-300x200.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-1024x683.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-768x512.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-1536x1024.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-2048x1365.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/2365_liquidinstruments_175-600x400.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Engineer with Moku:Lab, running Python&#039;s API on her computer screen\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><div class=\"flex flex-col gap-2 p-6 relative z-10\"><h3>Engineered to work seamlessly with your preferred APIs<\/h3><span>Automate with Python, MATLAB, and LabVIEW APIs for straightforward control of complex setups or repetitive tasks.<\/span><\/div><\/div>\n<\/sl-carousel-item>\n      <\/div>\n    <\/div>\n  <\/div>[\/vc_column][\/vc_row][vc_row][vc_column]\n    <div data-component='feature_block' class='feature-block vc_row wpb_row vc_row-fluid items-start '>\n      <div class='wpb_column vc_column_container vc_col-sm-4'>\n      <div class='vc_column-inner gap-4'>\n      \n      \n      <h2>Bringing agentic AI to test and measurement<\/h2>\n<p>Generative Instrumentation introduces a new approach to test. Combining the power of AI with Moku, you can define and generate custom instruments, as well as respond to new requirements faster than ever before. Instead of hours spent wiring, coding, and compiling, just describe what you want \u2014 Moku and AI handle the rest.<\/p>\n\n      \n      <\/div>\n      <\/div>\n      <div class='wpb_column relative vc_column_container vc_col-sm-8'><div class='vc_column-inner'>\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM.jpg 2542w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM-300x187.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM-1024x640.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM-768x480.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM-1536x960.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM-2048x1279.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/Screenshot-2025-11-05-at-4.48.23-PM-600x375.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Screenshot 2025-11-05 at 4.48.23\u202fPM\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><\/div>\n    <\/div>\n    <div data-component='feature_block' class='feature-block vc_row wpb_row vc_row-fluid items-start flex-row-reverse '>\n      <div class='wpb_column vc_column_container vc_col-sm-4'>\n      <div class='vc_column-inner gap-4'>\n      \n      \n      <h2>Describe what you want, in plain language<\/h2>\n<p>Adapt to specialized applications without writing HDL. Design and deploy custom instruments like controllers, DUT validation test, and more. Just prompt Generative Instrumentation with your design requirements, audit the code to ensure your project is up to spec, and deploy your bitstream to Custom Instrument on a Moku device.<\/p>\n\n      \n      <\/div>\n      <\/div>\n      <div class='wpb_column relative vc_column_container vc_col-sm-8'><div class='vc_column-inner'>\n    <img decoding=\"async\"\n      data-component=\"image_block\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1-300x200.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1-1024x683.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1-768x512.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1-1536x1024.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/06\/3412_liquidinstruments_212-1-1-600x400.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, (max-width: 80em) 680px\"\n      alt=\"Multi-Instrument Mode for Moku:Delta\"\n      loading=\"lazy\"\n      fetchpriority=\"low\"\n      style=\"aspect-ratio:auto; width:100%\"\n      class=\"image-block\"\n    ><\/div><\/div>\n    <\/div><div data-component=icon_grid class=\"relative py-10 px-8 rounded-3xl overflow-hidden\"><div class=\"absolute inset-0 w-full h-full\">\n  <div class=\"bg-black\/50 absolute w-full h-full z-0\"><\/div>\n    <img decoding=\"async\"\n      src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-scaled.jpg\"\n      srcset=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-300x200.jpg 300w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-1024x683.jpg 1024w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-768x512.jpg 768w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-1536x1024.jpg 1536w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-2048x1365.jpg 2048w, https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/MEMS-testing-setup-with-MokuPro-600x400.jpg 600w\"\n      sizes=\"(max-width: 50em) 87vw, 680px\"\n      alt=\"MEMs (Micro-electromechanical systems) testing lab setup\"\n      class=\"w-full h-full object-cover\"\n    >\n<\/div><div class=\"flex flex-col gap-2 relative z-1 mb-8 text-white text-left lg:text-center\"><h2 class='center'>Engineered for demanding applications<\/h2><\/div><div class=\"relative z-1 grid grid-cols-1 sm:grid-cols-2 md:grid-flow-col md:auto-cols-fr gap-4 justify-center\">  <div class=\"icon-card flex-1 flex flex-col items-center gap-3 p-3 bg-white rounded-lg shadow-md w-full sm:max-w-lg text-sm my-2\">\n    <img decoding=\"async\" class=\"icon-card-icon max-h-10 object-contain\" src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/icon-automatic-pulse-correction.svg\"\/>\n    <p style=\"text-align: center;\">Automatic pulse correction<\/p>\n\n  <\/div>  <div class=\"icon-card flex-1 flex flex-col items-center gap-3 p-3 bg-white rounded-lg shadow-md w-full sm:max-w-lg text-sm my-2\">\n    <img decoding=\"async\" class=\"icon-card-icon max-h-10 object-contain\" src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/icon-device-driver-development.svg\"\/>\n    <p class=\"p1\" style=\"text-align: center;\">Device driver development<\/p>\n\n  <\/div>  <div class=\"icon-card flex-1 flex flex-col items-center gap-3 p-3 bg-white rounded-lg shadow-md w-full sm:max-w-lg text-sm my-2\">\n    <img decoding=\"async\" class=\"icon-card-icon max-h-10 object-contain\" src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/icon-custom-filters-and-controllers.svg\"\/>\n    <p class=\"p1\" style=\"text-align: center;\">Custom filters and controllers<\/p>\n\n  <\/div>  <div class=\"icon-card flex-1 flex flex-col items-center gap-3 p-3 bg-white rounded-lg shadow-md w-full sm:max-w-lg text-sm my-2\">\n    <img decoding=\"async\" class=\"icon-card-icon max-h-10 object-contain\" src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/icon-adaptive-signal-generation.svg\"\/>\n    <p class=\"p1\" style=\"text-align: center;\">Adaptive signal generation<\/p>\n\n  <\/div>  <div class=\"icon-card flex-1 flex flex-col items-center gap-3 p-3 bg-white rounded-lg shadow-md w-full sm:max-w-lg text-sm my-2\">\n    <img decoding=\"async\" class=\"icon-card-icon max-h-10 object-contain\" src=\"https:\/\/liquidinstruments.com\/wp-content\/uploads\/2025\/11\/icon-signal-tracking-and-emulation.svg\"\/>\n    <p class=\"p1\" style=\"text-align: center;\">Signal tracking and emulation<\/p>\n\n  <\/div><\/div><\/div><div data-component=\"form_button\" class=\"flex flex-col\">\n  <sl-button class=\"button relative gap-2 items-center blue filled medium  self-center  open-dialog open-69a15050d7b5a\">\n    What would you build?\n  <\/sl-button>\n  <sl-dialog id=\"dialog-69a15050d7b5a\" label=\"What would you build?\" class=\"dialog-overview\" style=\"--width: 600px;\">\n    <div data-hubspot-form=\"true\" class=\"hubspot-form hs-form-html\" data-hubspot-form-id=\"f034b37b-be50-4599-bf0e-5d43dbc379ca\" data-hubspot-form-id-zh=\"\" data-hubspot-form-id-ja=\"\" data-hubspot-form-id-ko=\"\"><\/div>\n  <\/sl-dialog>\n<\/div>[\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n<h2>FAQ<\/h2>\n<p>[\/vc_column_text]<sl-details class=\"faq-accordion-item\">\n  <span slot=\"summary\">How does Generative Instrumentation work?<\/span>\n  <p>Using AI and natural language prompts, Generative Instrumentation designs, configures, and compiles HDL code, which can then deploy on Moku via Custom Instrument. For requirements not supported with conventional instruments, it will create and deploy bespoke capabilities to the FPGA for real-time, high-performance measurements and signal processing.<\/p>\n\n<\/sl-details><sl-details class=\"faq-accordion-item\">\n  <span slot=\"summary\">Which Moku devices support Generative Instrumentation?<\/span>\n  <p>Moku:Delta will be the first Moku to support Generative Instrumentation , with support for Moku:Pro, Moku:Lab, and Moku:Go coming soon.<\/p>\n\n<\/sl-details><sl-details class=\"faq-accordion-item\">\n  <span slot=\"summary\">How do I get access to Generative Instrumentation?<\/span>\n  <p>Generative Instrumentation will be available this year for select early-access users. It will be released via a software update in 2026. Sign up <a href=\"https:\/\/info.liquidinstruments.com\/geninst-updates\">here<\/a> to receive updates and early-access info.<\/p>\n\n<\/sl-details>[\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221;][vc_column]<div class='liquid-centered-text-wrapper'><div class='vc_row container'><div class='liquid-centered-text'><h2>Featured resources<\/h2>\n<\/div><\/div><\/div>[vc_basic_grid post_type=&#8221;post&#8221; max_items=&#8221;6&#8243; item=&#8221;13753&#8243; grid_id=&#8221;vc_gid:1768499467003-62dce755-50c6-10&#8243; taxonomies=&#8221;291&#8243; el_class=&#8221;container&#8221;][\/vc_column][\/vc_row][vc_row][vc_column]\n    <div data-component='call_to_action' class='vc_row-fluid cta w-full mx-auto cta-outline'>\n      <div class='flex w-full gap-4 flex-col items-center'>\n      \n        <div class='max-w-prose wpb_column vc_column_container vc_col-sm-12'>\n          <div class='vc_column-inner'>\n            \n            <h2 style=\"text-align: center;\">Learn how Moku can help you<\/h2>\n<p class=\"p-large\" style=\"text-align: center;\">Connect with an applications engineer for a personalized demo.<\/p>\n\n          <\/div>\n        <\/div>\n        <div class=' flex flex-row gap-4 xs:flex-col'>\n          <a class=\"button relative gap-2 items-center blue filled medium  \" href=\"https:\/\/liquidinstruments.com\/request-product-demo\/\" title=\"Schedule a demo\" target=\"_blank\"><span class=\"flex-1\">Schedule a demo<\/span><\/a>\n  <a class=\"button relative gap-2 items-center blue filled medium  \" href=\"https:\/\/liquidinstruments.com\/store\/\" title=\"Shop hardware\" target=\"_blank\"><span class=\"flex-1\">Shop hardware<\/span><\/a>\n  \n  \n        <\/div>\n      <\/div>\n    <\/div>[\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1729822762524{background-image: url(https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/10\/blob-white.png?id=21218) !important;}&#8221;][vc_column][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; disable_element=&#8221;yes&#8221;][vc_column][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; css=&#8221;.vc_custom_1762386805641{background-image: url(https:\/\/liquidinstruments.com\/wp-content\/uploads\/2024\/11\/blob-colour.png?id=21324) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text] FAQ [\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221;][vc_column][vc_basic_grid post_type=&#8221;post&#8221; max_items=&#8221;6&#8243; item=&#8221;13753&#8243; grid_id=&#8221;vc_gid:1768499467003-62dce755-50c6-10&#8243; taxonomies=&#8221;291&#8243; el_class=&#8221;container&#8221;][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row]<\/p>\n","protected":false},"author":45,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/neural-network.php","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-26295","page","type-page","status-publish","hentry","site-category-instrument"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Generative Instrumentation | Liquid Instruments<\/title>\n<meta name=\"description\" content=\"Build custom instruments and test flows with natural language prompts using Generative Instrumentation for Moku.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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