Therefore, this paper designs a real-time detection accelerator based on FPGA+ARM architecture (RDA). In the proposed RDA, the FPGA is utilized to implement specific accelerators for neural network ...

This project leverages advanced deep learning and MLOps technologies to develop an intelligent system for early detection of diseases in chickens, specifically through the analysis of fecal images.

We have implemented deep learning models, namely Generative Adversarial Network and Deep Convolutional Neural Network (GAN-DCNN), AlexNet, VGG16, ResNet50, and Google Net perform the detection of the ...

Ian Hoffman discusses Slack's architectural evolution from workspace-centric to Unified Grid. He explains scaling challenges & Enterprise Grid complexities, and shares lessons learned during this ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

On this day 35 years ago, the famed Hubble Space Telescope was launched into low Earth orbit by the Space Shuttle Discovery. Built by ...

However, local storage poses risks because hard drives can fail. This is where Network-Attached Storage (NAS) systems come in. NAS utilizes RAID (Redundant Array of Independent Disks) technology ...

Signalling requirements and architecture for interconnection between trustable network entities In force ...

In this project we take motivations from the phenomenal U-Net architecture for biomedical image segmentation and take an attempt to improve the already outstanding network. In order to incorporate ...

The Foundry Expert Contributor Network is a free platform for IT experts to share their stories and insights in a way that truly resonates with their peers and their industry – after all ...