As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

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

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

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 ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...

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