A cheap, non-toxic material, commonly found in household paint, could hold the key to one of machine learning’s biggest issues. A new scientific paper published by a team from Sandia National Laboratories, alongside collaborators from the University of Michigan, has discovered that titanium oxide, often found in paints and varnishes, could dramatically improve the energy efficiency of computer chips.  

By heating a computer chip coated with titanium oxide above 150 degrees Celsius, it is possible to remove some of the oxygen molecules, creating what is known as oxygen vacancies. This makes the material electrically conductive and, therefore, able to store information.



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