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

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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

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

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

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

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