Modern cars consist of a number of complex embedded and networked systems with
steadily increasing requirements in terms of processing and communication resources …

Random numbers are an essential input to many functions on the Internet of Things (IoT).
Common use cases of randomness range from low-level packet transmission to advanced …

The open-source RISC-V instruction set architecture (ISA) is gaining traction, both in industry
and academia. The ISA is designed to scale from microcontrollers to server-class …

Current ultra-low power smart sensing edge devices, operating for years on small batteries,
are limited to low-bandwidth sensors, such as temperature or pressure. Enabling the next …

The growing number of low-power smart devices in the Internet of Things is coupled with the
concept of “edge computing” that is moving some of the intelligence, especially machine …

Achieving a power envelope of few milliwatts combined with tight performance constraints is
emerging as one of the key challenges for battery-powered and low cost Internet-of-things …

The deployment of Deep Neural Networks (DNNs) on end-nodes at the extreme edge of the
Internet-of-Things is a critical enabler to support pervasive Deep Learning-enhanced …

The Internet-of-Things (IoT) requires endnodes with ultra-low-power always-on capability for
a long battery lifetime, as well as high performance, energy efficiency, and extreme flexibility …

We present PULP-NN, an optimized computing library for a parallel ultra-low-power tightly
coupled cluster of RISC-V processors. The key innovation in PULP-NN is a set of kernels for …

Fully miniaturized robots (eg, drones), with artificial intelligence (AI)-based visual navigation
capabilities, are extremely challenging drivers of Internet-of-Things edge intelligence …