This year, DAC will be buzzing about AI from every direction. The debate of build vs. buy will also be a popular topic. And the debate of who owns the intellectual property embodied in chip designs and how to control it will also get a significant amount of airtime. These are all interesting and compelling discussion points. It turns… Read More
Embedded systems programs often fail because critical engineering documentation drifts out of alignment over time and distance. This results in a team that is correctly following the wrong instructions. All forms of engineering documentation suffer from this problem, and it really is the silent killer of many programs.
llmda.ai… Read More
Arteris is one of the most impressive companies SemiWiki has worked with over the last fifteen years. We have collaborated on one hundred and seventy-three articles/podcasts that have garnered more than two million views/listens. The success of Arteris can be easily tracked to the executive team and Kurt Shuler was the executive… Read More
Embedded systems programs rarely fail because of a lack of execution capability. They fail because critical engineering documentation drifts out of alignment over time and distance. Simply put, the team is correctly following the wrong instructions. This includes requirements, architecture, implementation, verification,… Read More
Daniel is joined by Nagesh Gupta, CEO of llmda.ai. Nagesh has built a career spanning multiple aspects of system design and development at companies including Hewlett-Packard, Cadence, Xilinx, and Lattice Semiconductor. He is also a serial entrepreneur. Nagesh founded Taray, Inc., which developed memory interface generators… Read More
Accurate, complete, and consistent technical documentation is a critical element of success for any embedded system design project. This includes IP, SoCs, and the associated hardware and software infrastructure. When documentation contains errors, the consequences go beyond engineering inefficiency. Errors that drive… Read More
Engineering documentation has always been difficult to produce, maintain, and scale. But with the rise of generative AI, many organizations are asking a reasonable question: can a general-purpose large language model (LLM) like Claude automate the work? At first glance, the answer appears to be yes.
Modern LLMs can generate… Read More
Nagesh has built a career spanning multiple aspects of system design and development at companies including Hewlett-Packard, Cadence, Xilinx, and Lattice Semiconductor.
He is also a serial entrepreneur. Nagesh founded Taray, Inc., which developed memory interface generators for Xilinx designs and was later acquired by … Read More
