Jülich researchers have introduced novel memristive components in Nature Communications, offering significant advantages over previous versions. These memristors are more robust, operate within a wider voltage range, and can be used in both analog and digital modes. They could address the issue of 'catastrophic forgetting' in artificial neural networks, where learned information is abruptly lost.
The researchers have implemented the new memristive element in a model of artificial neural networks, achieving high accuracy in pattern recognition. They plan to seek further materials for memristors that may perform even better than the current version.
