Using more than 2.8 billion fungal sequences sampled from 130 countries, scientists map the biodiversity of Earth's underground mycorrhizal fungal communities.
Inside living cells, molecules are constantly on the move—binding, diffusing, interacting. An international competition, the 2nd AnDi Challenge, has now delivered a systematic comparison of analytical methods for single-molecule ...
Biologging—an innovative, non-invasive method of tracking animals in the wild—is transforming how scientists study movement, behavior and social interactions. Using compact electronic devices that can remain attached ...
Just imagine it, the news stories are all over your phone when you wake! The day will surely come that we will discover that we are not alone in the universe! What happens the day after though? A new research paper posted ...
Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have developed a new automated method to assess corrosion in industrial equipment using advanced machine learning ...
Invasive plants are meeting their match. Driven by the desire to protect Missouri's ecosystems, a University of Missouri research team created a low-cost method to track the spread of invasive Callery pear trees in mid-Missouri—shedding ...
New research from the University of Kansas has found that when people are told a news release addressing a corporate crisis was written by a human instead of by artificial intelligence, they find it more credible and the ...
Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials are able to learn important details about nuclear events such as explosions, accidents or industrial ...
Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for wheat, could help reduce nitrogen fertilization. This holobiont principle places the complex interactions ...
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data. Details have been published ...
