A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

At Consensus Miami 2026, Solana Foundation President Lily Liu argued that stablecoin adoption by firms like Western Union ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used ...

Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...

Read more about Coffee industry turns to AI for smarter quality control and flavor consistency on Devdiscourse ...

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...

Abstract: What if machine learning could predict inverter harmonics before prototyping? Conventional pulse width modulation (PWM) techniques in cascaded H-bridge (CHB) multilevel inverters (MLIs) ...