Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

These are young disruptors with huge opportunities.

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...