Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at ...

“Artificial intelligence and machine learning play a crucial role as transformative tools in pharmaceutical research and microbial engineering,” according to Ayaz Belkozhayev, PhD, associate ...

Machine learning (ML) involves rote mathematical or mechanical processes only. Artificial intelligence then advances data science and machine learning even further. Ben Tasker “(Machine learning uses) ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

The main problem with big tech's experiment with artificial intelligence (AI) is not that it could take over humanity. It's ...