A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...

Corrosion poses a substantial economic burden, and machine learning is increasingly being explored for its potential in staging, predictive maintenance, and data-driven decision making. This study ...

A knowledge gap persists between machine learning (ML) developers (e.g., data scientists) and practitioners (e.g., clinicians), hampering the full utilization of ML for clinical data analysis. We ...

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Artificial intelligence can be a huge help to humans writing unit testing scripts. Software development is a creative endeavor, but it can be filled with tedious tasks. Most mundane of all is writing ...

Cognex (NASDAQ:CGNX) advances AI-driven machine vision, anchoring a specialized corner of industrial automation.

Technology is evolving at an extraordinary pace, and automation is becoming one of the biggest forces shaping the future of ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...