Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data. This open-source framework, called JAXLEY, combines the precision of biophysical models with the ...
This year's fire season in Australia feels unpredictable. One week brings torrential rain, the next a burst of heat, followed by a sharp cold snap.
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning model that significantly ...
Every cell in the body has the same DNA, but different cell types—such as muscle or brain cells—use different parts of it. Transcription factors help cells activate specific genes by reading certain DNA sequences, but since ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make predictions or to create new content. The quality of those outputs depends ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures directly influence a drug's ...
Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, including pharmaceuticals, industrial enzymes, and diagnostic antibodies. These proteins can also ...
Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists to study the universe, to develop a new machine learning model which can help translate the language ...
How can artificial intelligence (AI) help astronomers identify celestial objects in the night sky? This is what a recent study published in Nature Astronomy hopes to address as an international team of researchers investigated ...
According to a recent study published in APL Photonics, a research team led by Prof. Liang Xu from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed an ultra-compact excimer laser roughly ...
