Nature is still too complex for artificial intelligence (AI) modeling to be effective, but the tipping point is close, according to a new study that found the technology may still trip at the last real-world hurdle.
A portable device that can instantly detect dangerous street drugs at extremely low concentrations has been developed at the University of Bath in the UK.
Imagine trying to tell identical twins apart just by looking at their fingerprints. That's how challenging it can be for scientists to distinguish the tiny powdery pollen grains produced by fir, spruce and pine trees.
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's disease and around fifty other types of human disease. In a departure ...
An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the analysis of biomedical images using deep learning techniques. The work has been published in Nature ...
A team of computer scientists, AI specialists and veterinary medicine researchers in the U.S. and the U.K., working with the dog training center, The Seeing Eye, Inc., has found that an AI model was better than humans at ...
Energy scarcity is a central driver of animal behavior and evolution. The amazing diversity of life on this planet is a testament to the plethora of novel biological solutions to the problem of securing and maintaining energy. ...
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.
