This article discusses the use of memristive devices, such as memristors and memcapacitors, to enable efficient computing applications in the era of ‘big data’ and ‘Internet of Things’. It explains how these devices are beyond traditional static RRAMs and are dynamical and analog, which makes them well-suited to accelerate ML learning and emulate neuromorphic systems.
