Machine learning has been in the news a lot lately. Some of the early hype has died down, but the trend still lives on. And now it has really started to make waves in the chip design world.
Machine learning and AI in chip design is such a sprawling field that I started to lose myself in all the research. So I figured to just go into a recent breakthrough in the chip design field: Floorplanning.
Google has been applying the same AI prowess that allowed them to badly beat the best Go masters to this obscure, but important sub-category of the field.
And a recent paper in the field by (and I am going to butcher this name) Azalia Mirhoseini and Anna Goldie illustrated their success with this approach.
For my take, I will try to avoid treading old ground and go a little bit deeper. Feel free to scream at me in the comments if I fail.
I recommend that you go through my earlier piece on EDA software - what it is and how it helps with the overall chip design process.