IEEE

FPGA Implementation of High-Speed Accelerators for CNN Architecture Using 3D Systolic Array Architecture

Abstract: Convolution Neural Networks (CNNs) are pivotal in image processing. Prominent CNN models include SqueezeNet, MobileNet, Xception, VGG-16, and AlexNet. These models transform 2D data to 1D, ...
IEEE

Design and Implementation of Regional Identification Algorithm for Highway Pavement Diseases Based on UAV Vision and CNN

With the continuous expansion of highway networks in recent years, the monitoring and repair of road diseases have become one of the important tasks in traffic management. Traditional manual ...
InfoWorld

PEP 816: How Python is getting serious about Wasm

Another big drawback: Any modules not written in pure Python can’t run in Wasm unless a Wasm-specific version of that module ...
Hosted on MSN

Virtual school in Ohio is navigating the implementation of AI

Here is how a virtual school in Ohio is navigating the implementation of AI. Trump promises mass pardons to staff before leaving office Pete Hegseth's Pentagon 'failed to comply' with court order it ...
New York Post

CNN set to cut employees this week as part of CEO Mark Thompson’s digital overhaul: report

CNN is set to lay off staffers this week as boss Mark Thompson presses ahead with a sweeping digital overhaul — with deeper cuts looming as a potential merger reshapes the network’s future. The Warner ...
CNX Software

PycoClaw – A MicroPython-based OpenClaw implementation for ESP32 and other microcontrollers

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence to resource-constrained embedded devices. We ...
Hosted on MSN

Genius storage ideas for those awkward cabinet side spaces

Discover smart storage solutions for hard to use cabinet sides that maximize space organization and functionality while keeping your kitchen or home clutter free and efficient with simple easy to ...
IEEE

Research and Design Implementation of a CNN Computing Processor Architecture

Abstract: The continuous advancement of convolutional neural networks (CNNs) has resulted in increasingly complex architectures and substantially higher computational demands, creating significant ...
IEEE

Implementation of a Deep Learning Model Based on CNN, CNN+LSTM and Ensemble Learning for MRI Image Analysis to Detect Brain Tumors

Abstract: Early detection of brain tumors using Magnetic Resonance Imaging (MRI) is crucial in clinical diagnosis. This study proposes an improved deep learning framework combining Convolutional ...
IEEE

Design and Implementation of a Flexible CNN Accelerator for Fast Real-Time Object Detection on FPGA

Abstract: In edge computing systems with limited resources, such as mobile devices and the Internet of Things, the use of Convolutional Neural Network (CNN) accelerators on FPGA has increasingly ...
IEEE

Efficient FPGA Implementation of Multiplication Operations in Artificial Neural Networks for Human Activity Recognition

Abstract: Human activity recognition (HAR) systems implemented on field-programmable gate array (FPGA) are evaluated as highly suitable for everyday use by individuals and older people due to their ...
GitHub

Neural Network from Scratch

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...