Recently a team of Argonne researchers discovered a way to use AI to optimize
a complicated manufacturing process that creates a wide range of industrial
nanomaterials like those used in batteries. This is important not only to produce
these important materials at a large scale, but also to ultimately develop greater
technologies for society.
In order to achieve this accomplishment, the team of researchers needed to
engage in machine learning. Machine learning is an application of AI that
involves developing computer algorithms so that the computer is essentially
“learning” or being trained. The purpose of machine learning is for the computer
to learn from past data to continuously improve without human input.
Machine learning isn’t just for researchers at Argonne. In fact, you can try it out
for yourself! We all know that recycling is good for our environment, however
it can be a more complicated process than we might think. For one, not all
materials can be recycled and knowing which ones can and cannot is difficult
to remember. For example, you can put paper bags in the recycling bin but not
plastic. Can you make this process easier using AI and Machine Learning? How
accurate can you make it?