A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

New research in orbital semiconductors, space-based metal 3D printing, and in-space recycling pushes production beyond and reveals lessons for advanced manufacturing on ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science ...

Manufacturing Technology Project is our Startup of the Month! It developed a platform to reduce errors in metal 3D printing.

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the environment, offering ...

Accelerates design and verification with domain-scoped agentic, AI-driven workflows and configurable human expertise..

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

AI models still lose track of who is who and what's happening in a movie. A new system orchestrates face recognition and staged summarization, keeping characters straight, and plots coherent across ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...