One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems understand, learn, and proactively execute tasks, blurring the line between tool ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

The AI in pharmacovigilance market is expected to grow at a CAGR of 12–15% from 2023 to 2030, driven by the need to automate ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

Automation is reshaping solar manufacturing, facilitating the rise of intelligent factories and supporting the development of innovative solar technologies.

Supply chain automation will mean different things to different people. That’s because there’s so much opportunity to ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based ...