These are structures, with the tools that we have, that save materials, save costs, save everything, said Amir Alavi, an engineering professor at the University of Pittsburgh and a member of the consortium developing the two A.I. projects.
The potential is enormous. It has the potential to be both more cost effective one machine doing the work of dozens of engineers and more creative in coming up with new approaches to familiar tasks.
It works by analyzing vast amounts of data and offering options that give humans better information, models and alternatives for making decisions.