As the industry adopts in-line monitoring and analytics, integrated AI-linked sensors may soon enable model-based process controls.

When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...

Gemini normalized the inflammatory response at the cellular level in stage 3 and 4 CKD patients – – Gemini could potentially ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

How hybrid condition monitoring solutions can play a role in optimising limited resources in the hydropower industry ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

This is a golden opportunity for India’s policy makers to act with foresight emphasising the need for AI innovations and ...

Advanced AI platform for research and pharma communitiesSwedish healthtech company Mavatar, a pioneer in AI- and data-driven ...

Most likely range for 3-month bill yields in 10 years remained in the 0% to 1% range. The probability of being in this range ...

High-quality impact data and assessments are vital for allocating capital effectively, yet they are resource-intensive for investors and social innovators. Can generative AI speed up and strengthen ...

The most critical aspect of machine design? Material selection, according to Cameron Washak, engineering standards and ...

Around the world, governments, industries, and technology providers are preparing for the migration to post-quantum cryptography (PQC). Standards bodies such as NIST in the United States and ENISA in ...