Issue link: https://iconnect007.uberflip.com/i/1502623
an obvious area where you see immediate pro- ductivity improvements through deep learning and artificial intelligence. It would be irresponsible not to mention, of course, the explosion in the AI field with gen- erative AI, which is what ChatGPT is based on. is is when AI generates assets that are ben- eficial to human beings in any context: natural language, images, generating computer code, and scripting code. You already see this for coding but think about the potential of genera- tive AI for the PCB designers. I imagine those who create design tools—as well as the design- ers—may leverage this technology in produc- tive ways. I want to be clear: It won't be per- fect. But if it gets me 70% of the way there, I can do the rest. ose are the two areas that immediately jump to mind as someone in the AI field. Johnson: On the design side, we've had auto routers for a long time. In semicon- ductor, as early as 25–30 years ago, there were IC chip compiler tools. Would those tools be called AI? ey might be. When we say AI, what are we talking about? It's a term that now has come to mean anything that generates a useful asset or insight. Practitioners in the AI field itself typ- ically take AI to mean second or third wave machine learning and deep learning: the facet of artificial intelligence that leverages complex models that learn by analyzing vast amounts of data. No doubt that some of the tools you're describing did a lot of this work. Now, I'm not an expert on the design side, but what is the step change in productivity? In soware devel- opment, for example, there have always been tools which will help you debug quicker and help with code generation. But there hasn't been a tool where I can say, "Write an algo- rithm to sort one million numbers with these properties in this time with this algorithmic specificity," which delivers Python, C-Sharp, or Java code. e ease with which someone who's non-technical can get an output like that