In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...

As external pressures continue to shape the manufacturing landscape, operational stability becomes increasingly important.

Preterm birth complications are the primary cause of death among children under age 5, and nearly 75% could be prevented with ...

Leading South African retailers are harnessing next-generation predictive analytics to transform price optimisation, demand ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

The Edge AI Software Market is projected to be valued at USD 1.95 billion in 2024 and reach USD 8.91 billion by 2030, growing at a CAGR of 28.8% according to a new report by The Research Insights, ...

By including information on suicidal thoughts and behaviors, clinicians can greatly improve predictive accuracy via machine learning.

Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. While machine ...

Smolinska is an Associate Professor at Maastricht University, the Netherlands, recognized for her work in volatile organic ...