Since the first microbial genome was sequenced in 1995, scientists have reconstructed the genomic makeup of hundreds of thousands of microorganisms and have even devised methods to take a census of bacterial communities on ...
Thermoset polymers made with composite materials give us everything from concrete bridge reinforcements to jet airplane wings to fiberglass boat hulls, and Philippe Geubelle's mission is to make these composites using methods ...
Researchers at the University of Toronto have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides—chains of amino acids that are shorter than proteins, but perform similar biological ...
Slush—water-soaked snow—makes up more than half of all meltwater on the Antarctic ice shelves during the height of summer, yet is poorly accounted for in regional climate models.
The world's coral reefs are like underwater cities, bustling with all kinds of fish and sea animals. Coral reefs cover less than 1% of the ocean, but they support an estimated 25% of all marine species, including many important ...
Work is underway on a wiring diagram of the motor circuits in the central nervous system that control muscles in fruit flies. This connectome, as the wiring diagram is called, is already providing detailed information on ...
A team at Los Alamos National Laboratory has used machine learning—an application of artificial intelligence—to detect the hidden signals that precede an earthquake. The findings at the Kīlauea volcano in Hawaii are ...
An interdisciplinary team of researchers from the University of Jyväskylä, Finland, from the fields of Psychology, Education, and Information Technology have developed the first machine learning models that forecast upper ...
While research has uncovered many details about how blood cells function within bone marrow, the work of other cells existing in that space has remained a relative mystery. Now, researchers from the Perelman School of Medicine ...
A team of Los Alamos National Laboratory scientists plan to use artificial intelligence modeling to forecast, and better understand, a growing threat to water caused by toxic algal blooms. Fueled by climate change and rising ...
