With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …

Computing in memory (CIM) could be used to overcome the von Neumann bottleneck and to
provide sustainable improvements in computing throughput and energy efficiency …

Photonic in-memory computing exhibits promising potential to address the inherent
limitations of traditional von Neumann architecture. In this study, we demonstrate a tantalum …

Ever since the invention of solid‐state transistors, binary devices have dominated the
electronics industry. Although the binary technology links the natural property of devices to …

In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

Carrier-selective contacts have been widely used to reduce the recombination losses of the
minority carriers and boost the transport of the majority carriers at the contact regions for …

In this study, the logic‐in‐memory operations are demonstrated of ternary NAND and NOR
logic gates consisting of double‐gated feedback field‐effect transistors. The component …

Higher functionality should be achieved within the device-level switching characteristics to
secure the operational possibility of mixed-signal data processing within a memristive …

Logic-in-memory with memristive crossbars is an attractive approach for realizing beyond
von Neumann architectures. Multi-valued logic (MVL) containing more than two logic levels …

The emulation of neuromorphic computations like the human brain exhibits an intriguing
potential in the development of next-generation computing architectures and artificial …