A study published in the Journal of Critical Care, conducted with the participation of the D'Or Institute for Research and Education (IDOR), investigated how to measure efficiency in the use of ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

A machine-learning model can improve prediction of progression to death in cases of liver donation after circulatory death ...

Envariax represents the next generation of algorithmic trading innovation — a technology-driven model built to analyze vast ...

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...

In the middle of a crypto market still searching for direction, one project has defied the noise and steadily climbed into ...

How CAD, AI, Digital Twins and MBSE are overhauling design fundamentals in heavy machinery and equipment industries.

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Without strong frameworks for governance, data integrity and oversight, autonomous systems can lead to unintended operational ...