Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), officially launches HOOPS AI, the first framework purpose-built to unlock AI and machine learning for CAD ...

Researchers at Duke University are proposing a new framework to evaluate artificial intelligence scribing tools by using a combination of human review and technological evaluation. The tools, while ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...