Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

Machine learning for making machines: Applying visual search to mechanical parts WEST LAFAYETTE, Ind. — Computer vision researchers use machine learning to train computers in visually recognizing ...

Course Title: Machine Learning for Mechanical Sciences Course Level: Undergraduate (Junior/Senior Level) / Graduate Tools & Software: Python (PyTorch/Jax, NumPy, scikit-learn, pandas), Jupyter ...

Machine learning can be used to predict the properties of a group of materials which, according to some, could be as important to the 21st century as plastics were to the 20th.

This enables massive sets of data on adhesive strengths, which in the era of machine learning, could result in custom-made formulation for various needs. Possible new materials could have exceptional ...

Researchers from Michigan Tech and the University of California, Los Angeles (UCLA) are collaborating on a machine learning model that aims to break the cubic scaling barrier of quantum mechanics.

Machine learning technique sharpens prediction of material's mechanical properties Date: March 16, 2020 Source: Nanyang Technological University Summary: Scientists have developed new approaches ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...