Every day, your brain completes millions of complicated functions without you even being aware of them, and it learns as it goes.
Teaching a machine to do the same thing is extremely complicated, but it has gotten a little easier thanks to the work of University of California, Merced, Professor Miguel Carreira-Perpiñan.
A faculty member in the School of Engineering, Carreira-Perpiñan recently won a prestigious, competitive Google Faculty Research Award and a grant from the National Science Foundation (NSF) to pursue an algorithm he’s designed to help machines conduct highly complicated processes faster, easier and more efficiently — more like the human brain does.