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 ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

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

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

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 ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

This video explores the impact of machine learning on renewable energy generation, particularly in wind farms, and its role ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

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 ...

Engineers at Stanford University have developed a high-efficiency, battery/solar-operated, autonomous microscope with integrated artificial intelligence that automatically diagnoses malaria in blood ...

The economic role of customer data has changed. For more than a decade, first-party data has been treated as a cost of doing business. Brands collected it, stored it, protected it, and activated it ...