https://www.sciencedaily.com/releases/2020/10/201019145544.htm

A team from Sandia National Laboratories, working with collaborators from the University of Michigan, published a paper in the peer-reviewed journal Advanced Materials that details a new method that will imbue computer chips that power machine-learning applications with more processing power by using a common material found in house paint in an analog memory device that enables highly energy-efficient machine inference operations.

"Titanium oxide is one of the most commonly made materials. Every paint you buy has titanium oxide in it. It's cheap and nontoxic," explains Sandia materials scientist Alec Talin. "It's an oxide, there's already oxygen there. But if you take a few out, you create what are called oxygen vacancies. It turns out that when you create oxygen vacancies, you make this material electrically conductive."