High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Selenium-based automation testing framework using Java, TestNG, and Maven with support for Smoke, Sanity, Regression, and Master suite execution.

London, England, United Kingdom, January 23, 2026-- In modern markets defined by speed, noise, and constant information flow, consistent performance is less about prediction and more about structure.

Abstract: Climate change triggered by greenhouse gas (GHG) emissions from the agricultural sector is a critical challenge in sustainable development. This study aims to develop a spatial prediction ...

The University of Texas MD Anderson Cancer Center and SOPHiA GENETICS today announced a strategic collaboration that unites SOPHiA GENETICS' AI-powered analytics with MD Anderson's clinical and ...

As the surge in artificial intelligence and data centers continues across the state, Austin officials say the technology’s rapid expansion could drive up utility rates, overwhelm the power grid and ...

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.

Abstract: Big data provide valuable insights by offering diverse information and sophisticated analysis through advanced algorithms. However, its huge volume, variety, and speed present significant ...

Non-animal framework based on new approach methodologies (NAMs) for chemical hazard identification and risk assessment. The framework comprises three modules: (1) high-throughput screening to address ...

"Range anxiety" remains one of the major issues of electric vehicles (EVs). Most of the existing range prediction technologies rely on simulated conditions or limited datasets, making it difficult to ...