Delivering a faster way to develop custom FPGA code to meet specific test requirements, Liquid Instruments has integrated a ChatGPT language model into its Moku family of products. The new feature will enable engineers to generate custom FPGA code that is instantly deployable to Moku test devices, even if they don’t have prior knowledge of digital logic design or programming, said the company.
Liquid Instruments said engineers and scientists often need higher-performance test and measurement equipment, available through user-programmable FPGAs to support complex experiments or to design advanced products with unique requirements. The challenge is that “this approach can be time-consuming and difficult to implement for users with little to no FPGA experience,” the company said.
Code generated by ChatGPT (left) and example input and output waveforms captured from the Moku:Pro oscilloscope (right) (Source: Liquid Instruments)
Moku:Pro test platform (Source: Liquid Instruments)
Suited to the company’s software-defined approach, ChatGPT now integrates with Moku Cloud Compile, a feature that allows users to deploy custom bitstreams on their Moku devices. ChatGPT will enable engineers and technicians to expedite FPGA programming by using natural language commands to quickly develop VHDL code, reducing their time and effort. (The Moku:Pro test platform was an Electronic Products 2021 Product of the Year winner for test & measurement.)
This means engineers, with any level of experience, can ask ChatGPT to create complex VHDL code, which is entered into Moku Cloud Compile, instantly deploying to a Moku device, said Liquid Instruments. Use cases include advanced triggering logic and real-time signal processing for applications such as time-gated measurements of infrequent events or signal conditioning of sensor data.
To learn more about the ChatGPT integration, Liquid Instruments will host a live webinar on May 24.
Register here: https://hubs.ly/Q01NSSDj0. The company also will hold a live European session on May 25.
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