The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …

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

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

With the prospect of a smart society in the foreseeable future, humans are experiencing an
increased link to electronics in the digital world, which can benefit our life and productivity …

The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Reinforcement learning algorithms that use deep neural networks are a promising approach
for the development of machines that can acquire knowledge and solve problems without …

Sensory memory, formed at the beginning while perceiving and interacting with the
environment, is considered a primary source of intelligence. Transferring such biological …

The explosive growth of machine learning is largely due to the recent advancements in
hardware and architecture. The engineering of network structures, taking advantage of the …

As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …

Memristive crossbar arrays promise substantial improvements in computing throughput and
power efficiency through in-memory analog computing. Previous machine learning …