A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...
A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling utility companies to reduce the chance of both power outages and wildfires ...
Abstract: The monitoring of semi-natural ecosystems has become increasingly critical due to the rising impact of ecological disturbances, including natural disasters and unauthorized human-made ...
Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...
Abstract: Star trackers are one of the most accurate celestial sensors used for absolute attitude determination. The devices detect stars in captured images and accurately compute their projected ...
TockyConvNetR: An R package focused on data preprocessing and feature cell analysis suitable for Convolutional Neural Network (ConvNet) analyses. This package facilitates image conversion methods for ...
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 ...
Typically, an AI is "just" software. AI-powered software services like Grammarly and Rytr use neural nets, like GPT-3. Those neural nets consist of equations or commands, written in things like Python ...
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