Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...

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

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

In the past decade, advances in algorithms, computer architecture and processing power have led to giant strides in the development of computers that are capable to learn by themselves how to solve a ...

Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

As organizations worldwide adopt machine learning across virtually every industry, the demand for machine learning engineers is on the rise. Anyone with “machine learning” in their job title, or even ...