MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

China’s space agency is preparing to send a probe to collect material from a tiny asteroid that has been traveling alongside ...

Abstract: With the rapid development of semiconductor technology, conventional modeling based on physical equations encounters challenges related to accuracy and development time. The study proposes a ...

Stretching protein samples in all directions pulls molecules farther apart, allowing them to be visualized using only light ...

Abstract: This article proposes a new sampled-data control method related to time for the stability and stabilization of Takagi–Sugeno (T-S) fuzzy systems, and provides a novel sampling-dependent ...