Abstract: Because of the parallelism and reprogrammability of these digital devices, the implementation of Artificial Neural Networks (ANNs) using Field Programmable Gate Arrays (FPGAs) has garnered a ...

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre ...

Surface Science and Spectroscopy Laboratories@I-LAMP, Department of Mathematics and Physics, Università Cattolica del Sacro Cuore, via della Garzetta 48, 25113 Brescia, Italy ...

Introduction: A strategy for transitioning implementation successfully from pre-implementation to active implementation is to hold a team “kickoff.” The objectives of this manuscript are: (1) to ...

1 Lancaster Medical School, Lancaster University, Lancaster, United Kingdom 2 Rakehead Rehabilitation Centre, East Lancashire Hospitals NHS Trust, Burnley, Lancashire, United Kingdom Background: The ...

Paul Deraval, Cofounder & CEO of NinjaCat, is a software veteran with 20+ years driving innovation in martech, AI and agency growth. Enterprise AI has evolved from a tool for innovation to a core ...

A new technical paper titled “All-in-Memory Stochastic Computing using ReRAM” was published by researchers at TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...

In this tutorial, we explore an innovative and practical application of IBM’s open-source ResNet-50 deep learning model, showcasing its capability to classify satellite imagery for disaster management ...

2 Department of Work & Social Psychology, Maastricht University, Maastricht, The Netherlands Introduction Implementation Mapping (IM) has increasingly been used for the design and/or selection and ...