Computing Based on Material Training: Application to Binary Classification Problems
(2017)
Presentation / Conference Contribution
Evolution-in-materio is a form of unconventional computing combining materials' training and evolutionary search algorithms. In previous work, a mixture of single-walled-carbon-nanotubes (SWCNTs) dispersed in a liquid crystal (LC) was trained so that... Read More about Computing Based on Material Training: Application to Binary Classification Problems.