Why can zebrafish regenerate damaged gut nerves while humans largely cannot? Michigan State University researchers have developed a new research tool that allows them to remove gut neurons in zebrafish and watch them regenerate ...
In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network quantum Monte Carlo methods have attracted attention as highly accurate simulation techniques. However, ...
Researchers have demonstrated a novel AI model that can predict which DNA molecules bind with other DNA molecules. A more thorough understanding of these hypercomplex binding relationships has utility in applications ranging ...
Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations governing complex and chaotic systems directly from data. The technology, called KANDy—short for Kolmogorov-Arnold ...
Are we alone in the universe? Consider mysterious "extraterrestrial" radio signals. Unexplained gases on other planets. Things mistaken for UFOs.
Brown University researchers have developed a new artificial intelligence method for predicting the rate at which materials used in controlled drug-release systems release therapeutic agents. The new method could slash the ...
Past psychology studies have consistently highlighted the importance of social bonds for survival, showing that enduring relationships are linked with a longer life expectancy, a more resilient immune system, better cardiovascular ...
The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, telecommunications and remote sensing. When light passes through a turbid or diffusive medium, such ...
Researchers at Princeton University have harnessed AI to understand how drugs affect the dynamics of vital structures within the cell, introducing a tool that can map the shape of these structures to functional outcomes and ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their robustness under fluorescence ...
