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 ...
CNN

Judge blocks Pentagon’s effort to ‘punish’ Anthropic by labeling it a supply chain risk

A federal judge in California has indefinitely blocked the Pentagon’s effort to “punish” Anthropic by labeling it a supply chain risk and attempting to sever government ties with the AI company, ...
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 ...
IEEE

FPGA-Based Implementation of LeNet Architecture in Verilog for Disease Prediction

Abstract: Early and accurate disease prediction through medical image analysis is a critical step in modern healthcare systems. This paper presents an FPGA-based implementation of the LeNet ...
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 ...
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 Low-Power Binary CNN Architectures on VLSI for UART-Enabled IoT Applications

Abstract: This paper presents the design and implementation of a high-performance binary-weighted convolutional artificial neural network tailored for UART-based applications. The proposed ...
IEEE

Implementation and Comparison of CNN Models on CIFAR-10 Dataset

Abstract: This study investigates the vulnerability of Convolutional Neural Network (CNN) models to adversarial attacks, focusing on the Fast Gradient Sign Method (FGSM). We implemented and compared ...
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 ...