Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate
advanced electronic circuits is a major goal for the semiconductor industry,. However, most …

The development of silicon semiconductor technology has produced breakthroughs in
electronics—from the microprocessor in the late 1960s to early 1970s, to automation …

Two-dimensional materials could play an important role in beyond-CMOS (complementary
metal–oxide–semiconductor) electronics, and the development of memristors for information …

Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …

The memristor, is a promising building block for next-generation non-volatile memory,
artificial neural networks,,–and bio-inspired computing systems,. Organizing small …

Constructing a computing circuit in three dimensions (3D) is a necessary step to enable the
massive connections and efficient communications required in complex neural networks. 3D …

Memristors are two-terminal passive circuit elements that have been developed for use in
non-volatile resistive random-access memory and may also be useful in neuromorphic …

The ability to scale two-dimensional (2D) material thickness down to a single monolayer
presents a promising opportunity to realize high-speed energy-efficient memristors. Here …

At present, machine learning systems use simplified neuron models that lack the rich
nonlinear phenomena observed in biological systems, which display spatio-temporal …

Despite much progress in semiconductor integrated circuit technology, the extreme
complexity of the human cerebral cortex, with its approximately 1014 synapses, makes the …