Quilter, which has raised more than $40 million from investors including Benchmark, Index Ventures, and Coatue, used its physics-driven AI to automate the design of a two-board computer system that booted successfully on its first attempt, requiring no costly revisions. The project, internally dubbed “Project Speedrun,” required just 38.5 hours of human labor compared to the 428 hours that professional PCB designers quoted for the same task.
I was going to ask how this is different than a Reinforcement Learning algorithm but then they called out Deep Minds Alpha-Go