The Internet of Things (IoT) is an interface with the physical world that usually operates in
random-sparse-event (RSE) scenarios. This article discusses main challenges of IoT chips …

In recent years, Artificial Intelligence (AI) has been widely deployed in a variety of business
sectors and industries, yielding numbers of revolutionary applications and services that are …

An increasing number of studies are highlighting the importance of spatial dendritic
branching in pyramidal neurons in the neocortex for supporting non-linear computation …

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 …

Voice-controlled interfaces on acoustic Internet-of-Things (IoT) sensor nodes and mobile
devices require integrated low-power always-on wake-up functions such as Voice Activity …

Analog feature extraction (AFE) is an appealing strategy for low-latency and efficient
cognitive sensing systems since key features are much sparser than the Nyquist-sampled …

An artificial intelligence of things (AIoT) chip is a critical hardware component in edge
devices that supports data acquisition and processing in the artificial intelligence (AI) era. In …

Binary Neural Networks (BNNs) have been shown to be robust to random bit-level noise,
making aggressive voltage scaling attractive as a power-saving technique for both logic and …

This article presents a voice and acoustic activity detector that uses a mixer-based
architecture and ultra-low-power neural network (NN)-based classifier. By sequentially …

This article presents a 148-nW always-on wake-up system that drastically reduces the
system power consumption of Internet of Things (IoT) sensor nodes while oftentimes …