Conventional von Neumann architecture is insufficient in establishing artificial intelligence
(AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly …

Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

In recent years, the rapid increase in the data volume to be processed has led to urgent
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …

Neuromorphic hardware enables fast and power-efficient neural network–based artificial
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …

Mimicking biological synapses with microelectronic devices is widely considered as the first
step in hardware building artificial neuromorphic networks, which is also the basis of brain …

Neuromorphic systems, which emulate neural functionalities of a human brain, are
considered to be an attractive next‐generation computing approach, with advantages of …

Neuromorphic computing is becoming increasingly prominent as artificial intelligence (AI)
facilitates progressively seamless interaction between humans and machines. The …

Human brain outperforms the current von Neumann digital computer in many aspects, such
as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic …

Neuromorphic computing inspired by the neural systems in human brain will overcome the
issue of independent information processing and storage. An artificial synaptic device as a …

Summary Two-dimensional (2D) van der Waals materials have found broad utility in a
diverse range of applications including electronics, optoelectronics, renewable energy, and …