Regulatory pressure from GxP, 21 CFR Part 11, and AI/ML guidance elevates requirements for audit trails, data lineage, ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

This year's gongs went to projects including AI fraud detection, a marine-debris initiative, and a DSS geospatial tool for ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Chronic hepatitis D virus (HDV) coinfection in people with chronic hepatitis B is associated with rapid progression to liver ...

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C.

Long before modern computers existed, scientists and philosophers wondered whether machines could imitate human reasoning. This video traces the evolution of that idea from Aristotle’s logic and ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...