Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses—an advance that will greatly increase the ...
In late 2017, a mysterious object tore through our solar system at breakneck speed. Astronomers scrambled to observe the fast-moving body using the world's most powerful telescopes. It was found to be one quarter mile (400m) ...
A deep learning framework transforms decades of solar data into a unified, high-resolution view—adjusting instruments, overcoming limitations, and helping us better understand our star.
The El Niño phenomenon in the South Atlantic and Benguela current, which flows along the west coast of southern Africa, have a significant impact on the tropical Atlantic region, leading to extensive effects on local marine ...
UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in the pre-clinical stage. ...
Scientists have discovered a new phylum of microbes in Earth's Critical Zone, an area of deep soil that restores water quality. Ground water, which becomes drinking water, passes through where these microbes live, and they ...
A pair of planetary scientists at the University of California, working with a colleague from the California Institute of Technology, has discovered that a massive amount of ammonia is churned up and down in Jupiter's atmosphere ...
A breakthrough in imaging technology promises to transform our understanding of the inner workings of living cells, and provide insights into a wide range of diseases.
AI systems already work their magic in many areas of biomedical science, helping to solve protein structure, discover hidden patterns in the genome and process massive amounts of biological data. Now, an AI-assisted technology ...
Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed an advanced neural network-based method to improve the compression of spectral data from the New ...
