Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …

With the rapid development of information technique in the big‐data era, there is an
extremely urgent demand for new circuit building blocks, represented by resistive switching …

Neuromorphic machines are intriguing for building energy-efficient intelligent systems,
where spiking neurons are pivotal components. Recently, memristive neurons with …

Threshold switching (TS) devices are promising candidates to build highly compact and
energy efficient artificial neurons. Here, we present a Pt/Ag/TiN/HfAlO x/Pt (PATHP) device …

Artificial synapses and bionic neurons offer great potential in highly efficient computing
paradigms. However, complex requirements for specific electronic devices in neuromorphic …

Many real-world mission-critical applications require continual online learning from noisy
data and real-time decision making with a defined confidence level. Brain-inspired …

Conventional artificial intelligence (AI) systems are facing bottlenecks due to the
fundamental mismatches between AI models, which rely on parallel, in-memory, and …

This study demonstrates a hyper‐level control of metal‐ion migration through vacancy‐
induced‐percolation (VIP) path to maximize the steep‐slope performance of the threshold …

With rapid advancement and deep integration of artificial intelligence and the internet-of-
things, artificial intelligence of things has emerged as a promising technology changing …

In the age of the Internet of Things, the proliferation of edge devices has resulted in a
significant increase in personal information that is susceptible to theft and counterfeiting at …