The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

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 ...