Recent trends in deep learning (DL) imposed hardware accelerators as the most viable
solution for several classes of high-performance computing (HPC) applications such as …

Emerging artificial intelligence-enabled Internet-of-Things (AI-IoT) system-on-chip (SoC) for
augmented reality, personalized healthcare, and nanorobotics need to run many diverse …

In artificial intelligence, the large role is played by machine learning (ML) in a variety of
applications. This article aims at providing a comprehensive survey on summarizing recent …

Serverless computing has attracted many researchers with features such as scalability and
optimization of operating costs, no need to manage infrastructures, and build programs at a …

A fully integrated near-microphone keyword spotting (KWS) chip is proposed to directly
interact with a passive microphone and achieve submicrowatt power for the Internet of …

Hybrid vision transformers combine the elements of conventional neural networks (NN) and
vision transformers (ViT) to enable lightweight and accurate detection. However, several …

Abstract Internet of Things (IoT) security is paramount for enterprises, as it includes several
strategies, techniques, actions, and protocols that aim to alleviate the high vulnerability of …

This article presents RoboVisio, an efficient and highly flexible domain-specific system-on-
chip (SoC) for vision tasks in fully autonomous micro-robot navigation. A novel hybrid …

Data-driven models used for predictive classification and regression tasks are commonly
computed using floating-point arithmetic and powerful computers. We address constraints in …

In this article, we present an ultra-low-power multi-modal signal processing system on chip
(SoC)[audio and image multi-modal intelligence (AIMMI)] that integrates a versatile deep …