It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

To solve these issues, Chen’s team combined robotics, machine-learning algorithms, and material science expertise to enable aerogel design with programmable mechanical and electrical ...

Engineers have developed a model that combines machine learning and collaborative robotics to accelerate the design of aerogel materials used in wearable heating applications. Engineers at the ...

A machine learning continuous condition-based monitoring maintenance suite predicts failures and manages downtime. Rockwell Automation’s FactoryTalk Analytics GuardianAI is a machine learning ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 08 ...

Defying engineering challenges in record time, researchers at the University of Maryland developed a machine learning model that eliminates hassles in materials design to yield green technologies used ...