Smart glasses are rapidly gaining advanced functionality thanks to cutting-edge computing
technologies, accelerated hardware architectures, and tiny AI algorithms. Integrating AI into …

Extended reality (XR) applications are machine learning (ML)-intensive, featuring deep
neural networks (DNNs) with millions of weights, tightly latency-bound (10–20 ms end-to …

The RISC-V architecture has recently emerged as a popular open source option for the
design of general purpose cores with a wide spectrum of operating specifications. In this …

This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully
quantized ultra-lightweight object detection network designed for edge systems with a power …

Advances in lightweight neural networks have revolutionized computer vision in a broad
range of Internet of Things (IoT) applications, encompassing remote monitoring and process …

Internet-of-Things (IoT) drives the demand for artificial intelligence (AI) system-on-chips
(SoCs) for vast always-on ultra-low power applications such as human action recognition …

Many applications benefit from AI inference at the edge, in industry, agriculture and
transportation domains. The observed trend in image/video analysis is to increase the …

Efficiently computing Deep Neural Networks (DNNs) has become a primary challenge in
today's computers, especially on devices targeting mobile or edge applications. Recent …

The open-source and customizable features of the RISC-V Instruction Set Architecture (ISA)
have facilitated its rapid adoption since its publication in 2011. The availability of numerous …

Since 2013, the PULP (Parallel Ultra-Low Power) Platform project has been one of the most
active and successful initiatives in designing research IPs and releasing them as open …