Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

JINAN CITY, SHANDONG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- The global market for three-in-one busbar ...

In Dubai’s fast-moving hospitality landscape, reactive management is costly, reveals Zakaria Siddqui, cluster director of finance and business support at Sofitel Dubai The Obelisk ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

AxxonAI, developed by Athenatech.ai, a Malaysia Digital –certified company, is a next-generation synthetic GenAI platform that empowers organisations to maximise the value of their data—without ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

The eight arms framework provides a structured approach to transforming safety culture and practices for complex, ...

The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.

In this interview Satinder Pal Singh explains how AWS custom silicon is reshaping AI economics, enabling enterprises to cut ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...