‘Memristive’ switches enable ‘stateful’ logic operations via material implication

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Memory devices and applications for in-memory computing (2020, background): “NaTuRe NaNoTecHNology This non-volatile accumulative behaviour, in spite of its nonlinear and stochastic nature, can be exploited in several applications, such as training deep neural networks, where the conductance values need to be incrementally modified.”
Towards Oxide Electronics: a Roadmap (2019, background): “27(a) shows the circuit of an IMPLY gate [379] as an example for a voltage divider structure.”
Resistive switching phenomena in thin films: Materials, devices, and applications (2012, background): “5 Borghetti et al. 10 recently demonstrated a very different approach of using memristive devices in digital logic circuits—material implication logic.”
The future of electronics based on memristive systems (2018, methodology): “Beyond this, we note that the same vector-matrix operations described above can be utilized to solve classical problems such as vector arithmetic functions and linear algebra 44 , and other arithmetic and logic operations 45 .”