Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Microelectronic computers have encountered challenges in meeting all of today's demands
for information processing. Meeting these demands will require the development of …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

There has been recent interest in neuromorphic photonics, a field with the promise to access
pivotal and unexplored regimes of machine intelligence. Progress has been made on …

Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful
inference capabilities for real-time applications such as IoT, robotics, and human-machine …

Brain-inspired hyperdimensional (HD) computing emulates cognition by computing with
long-size vectors. HD computing consists of two main modules: encoder and associative …

Always-on speech interfaces are prevailing in human-machine interaction, especially on
wearable devices, Internet of Things, etc., which benefits from the recent breakthroughs in …

The rapid evolution of the neuromorphic computing stimulates the search for novel brain-
inspired electronic devices. Synaptic transistors are three-terminal devices that can mimic …

This paper presents an ultra-low-power voice activity detector (VAD). It uses analog signal
processing for acoustic feature extraction (AFE) directly on the microphone output …

An artificial neural network (ANN) is currently used in multiple different applications such as
bio-medicine, finance, Internet, and mobile networks. Since their inception, many advances …