Predicting the evolution of wear in metallic structural components is vital for accurately estimating the lifetime of engineering equipment. However, this remains a significant challenge due to the ...

Today, commercial disputes in Nigeria, and in fact globally, no longer arise only from decisions made in the boardroom, signed contracts or face-to-face dealings. Increasingly, they are shaped by ...

Abstract: This letter proposes a novel Data-Driven (DD) method for controlling unknown input-affine nonlinear systems. First, we estimate the system dynamics from noisy data offline through Subspace ...

AI-based platforms are transforming how we navigate digital ecosystems. Using artificial intelligence, these platforms analyze vast datasets, enabling personalized content recommendations, enhanced ...

In the golden hills of Puglia, a southern region of Italy known today for its olive trees, white cliffs and turquoise mediterranean coves, Lorenzo Avello has artificial intelligence on his mind.

Oct 31 (Reuters) - Shares of data storage companies such as Seagate (STX.O), opens new tab and Western Digital (WDC.O), opens new tab have sharply outperformed the broader market this year, powered by ...

Since 2025, the term "vibe coding" has gained traction as a conversational AI-driven programming method, allowing developers to generate code through dialogue with large language models (LLMs).

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

WASHINGTON — The Army is undergoing a significant transformation, shifting its focus to a data-centric approach to ensure warfighting superiority in future conflicts, said Lt. Gen. Jeth Rey, deputy ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Abstract: This letter introduces a successive convex programming approach to solve the data-driven optimal linear quadratic regulator (LQR) problem with positivity-preserving constraints. While ...