Q.ANT Runs Generative AI on Photonic Hardware

Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
Edutopia

How Object-Based Learning Supports Deep Thinking

When the students at University Avenue Elementary enter Science Specialist Natalie Lupo’s classroom, they don’t shuffle over to their seats or sit quietly waiting for instructions. Their entrance ...
IEEE

A Deep Learning-Based Method for Object Workpiece Recognition and Grasp Detection

Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
IEEE

Deep Learning-based Object Localization using Delay-and-Sum Beamformed Ultrasound for Autonomous Driving

Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...