Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

The UK automotive acoustic engineering services market is expanding, driven by demand for NVH control, stringent noise ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically ...

Interview Kickstart, a technical training platform for aspiring FAANG engineers, announced today the integration of TinyML (Tiny Machine Learning) content into its Machine Learning Interview Prep ...

AI Becomes Researchers Second Brain in New Material Research KAIST-led study outlines AIs role in discovery, development, and ...

Balancing stiffness, strength, and toughness in thermosetting polyimide films has long challenged materials scientists. In ...

Christine Rice’s move from culinary arts to integrated systems engineering showcases the power of creative problem-solving, resilience and the value of diverse experiences in ...