Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Electrochemical supercapacitors process ultra–high power density and long lifetime, but the
relatively low energy density hinder the wide application. Therefore, supercapacitors with …

The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Neuromorphic computers could overcome efficiency bottlenecks inherent to conventional
computing through parallel programming and readout of artificial neural network weights in …

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

Neurons of the ventral tegmental area of the brain contain single axon terminals that release
excitatory and inhibitory neurotransmitters, creating reconfigurable synaptic behaviour …

With the development and application of artificial intelligence, there is an appeal to the
exploitation of various sensors and memories. As the most important perception of human …