UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

This project builds a supervised machine learning model trained on historical weather data to predict whether it will rain the next day. It includes a Flask web application with an interactive ...

A hot potato: GitHub has announced that starting April 24, the company will begin using interaction data from Copilot Free, Pro, and Pro+ users to train and improve its AI models unless they opt out.

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

This project implements a comprehensive ML pipeline to predict sepsis risk using clinical indicators. It provides both a command-line training interface and a web-based prediction interface for ...

Abstract: Crop prediction is an essential aspect of modern agriculture, enabling farmers to make informed decisions to maximize yield and resource efficiency. Traditional prediction methods rely on ...