How AI, modular FPGA hardware, and web-native tools are accelerating the design of instrumentation and control systems

The design of instrumentation and control systems is undergoing a fundamental shift as three forces converge: artificial intelligence, modular FPGA hardware, and web-native development tools. Where engineers once faced months of custom board design, low-level HDL work, and bespoke software integration, they can now assemble sophisticated data-acquisition and control platforms from proven, reconfigurable building blocks. Modular FPGA hardware provides the deterministic, high-throughput backbone these systems demand, while pre-validated integration modules eliminate much of the risk and time traditionally spent bringing custom silicon to a working state. Web-native tools, in turn, are collapsing the distance between hardware and the software that drives it, letting teams configure, monitor, and iterate on their designs through familiar browser-based interfaces. Layered on top, AI is accelerating everything from HDL generation and debugging to signal analysis and system optimization, lowering the barrier for domain experts who are not FPGA specialists. Together, these advances are compressing development timelines, reducing engineering overhead, and expanding who can build high-performance instrumentation. This roundtable brings together experts to explore how these technologies intersect in practice, where the real productivity gains are emerging, and what pitfalls teams should anticipate as they adopt them. The discussion will offer practical guidance for engineers and decision-makers looking to modernize how they design and deploy control and measurement systems.

This session is part of our “FPGA Roundtable Series". Registration/event page here.