Chemical engineering researchers have a powerful new tool at their disposal: active machine learning. In a recent perspective article published in Engineering, Kevin M. Van Geem’s research team at ...

Who is the better experimentalist, a human or a robot? When it comes to exploring synthetic and crystallization conditions for inorganic gigantic molecules, actively learning machines are clearly ...

Actively self-learning, the algorithm moves on and on through the infinite molecular space and keeps suggesting new molecules that could be the basis for the next generation of solar cells. (Image: C.

Schematic of yoked machine learning concept. Credit: Artificial Intelligence in the Life Sciences (2023). DOI: 10.1016/j.ailsci.2023.100089 Biomedical engineers at Duke University have developed a new ...

How much time is your machine learning team spending on labeling data — and how much of that data is actually improving model performance? Creating effective training data is a challenge that many ML ...

Hydrodynamic theories effectively describe many-body systems out of equilibrium in terms of a few macroscopic parameters. However, such parameters are difficult to determine from microscopic ...

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...