The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …

This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a flexible, energy-
efficient, and high-performance solution for real-time and smart image processing in AI …

Artificial-intelligence-powered edge devices are inspiring interest in always-on, intelligent,
and self-powered visual perception systems. Due to the high energy cost of converting raw …

This paper proposes a high-performance and energy-efficient optical near-sensor
accelerator for vision applications, called Lightator. Harnessing the promising efficiency …

Multi-chip-module (MCM) technology heralds a new era for scalable DNN inference
systems, offering a cost-effective alternative to large-scale monolithic designs by lowering …

Introduction Cancer is a leading cause of death worldwide, necessitating effective diagnostic
tools for early detection and treatment. Histopathological image analysis is crucial for cancer …

Targeting vision applications at the edge, in this work, we systematically explore and
propose a high-performance and energy-efficient Optical In-Sensor Accelerator architecture …

Convolutional neural networks (CNNs) have been gaining popularity in recent years, and
researchers have designed specialized architectures to speed up the inference process …

This letter introduces ViTSen, optimizing vision transformers (ViTs) for resource-constrained
edge devices. It features an in-sensor image compression technique to reduce data …