Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Managing real-time data is crucial for technologies that help computers learn and make decisions, a field known as machine learning. In simple terms, machine learning teaches computers to find ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.

Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning (ML) ...

Opinions expressed by Entrepreneur contributors are their own. We are on the brink of a massive technological revolution as we slowly move from the water and steam-powered first industrial revolution ...

On Demand As artificial intelligence continues to reshape the construction industry, the structure and quality of your data are more important than ever. But is your firm’s data ready? Join ENR to ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data to ...