techxplore

New chip design cuts AI energy use by enabling smarter FPGA processing

A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward shrinking the carbon footprints of data centers and AI infrastructure. As AI ...
IEEE

Neighborhood Image Processing Using Verilog HDL

Abstract: This paper explores the utilization of a customized hardware processor implemented on FPGA using Verilog HDL for image enhancement techniques. The processor applies a moving window filter ...
GitHub

rtl-design-project-using-verilog-hdl

This project implements a Verilog-based Vending Machine Controller with support for APB configuration, item dispensing, and currency validation. It features FSM control, clock domain synchronization, ...
Frontiers

Detection of weeds in vegetables using image classification neural networks and image processing

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...
GitHub

Adding Verilog-AMS Syntax highlighting

Hi, I've been looking for a Verilog-AMS syntax highligher, it appears that one is not readily available for VS Code, despite it's large overlap with standard Verilog and SystemVerilog. You can ...
Linux Journal

Robotic Vision in Debian: Mastering Image Processing and Object Recognition for Intelligent Robots

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
SciELO

Comparison of supervised machine learning and variable selection methods for body weight prediction of growth pigs using image processing data

This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil. This ...