Showing 20 articles starting at article 361
< Previous 20 articles Next 20 articles >
Categories: Biology: Marine, Mathematics: Modeling
Published Protecting coral 'nurseries' as important as safeguarding established coral reefs



New research in the southwestern part of Hawai'i Island shows that identifying and protecting marine ecosystems both down-current and up-current of coral reefs, specifically areas where coral larvae are more likely to survive and thrive, is crucial to future coral conservation and restoration efforts -- especially as reefs face increasing pressure from the devastating effects of climate change.
Published New AI tool accurately detects COVID-19 from chest X-rays



Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy.
Published A new mathematical language for biological networks



Researchers are presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. The team has successfully identified master regulators within the context of an entire genetic network. The research results provide a coherent theoretical framework for analyzing biological networks.
Published Fastest swimming insect could inspire uncrewed boat designs



Whirligig beetles, the world's fastest-swimming insect, achieve surprising speeds by employing a strategy shared by fast-swimming marine mammals and waterfowl, according to a new study that rewrites previous explanations of the physics involved.
Published The snail or the egg?



Animals reproduce in one of two distinct ways: egg-laying or live birth. By studying an evolutionarily recent transition from egg-laying to live-bearing in a marine snail, collaborative research has shed new light on the genetic changes that allow organisms to make the switch.
Published Male southern elephant seals are picky eaters



New research suggests these large marine mammals are extremely fussy and only eat their favorite foods.
Published The choreography connecting kelp forests to the beach



A new study uncovers a symphony of synchrony between the kelp forest and beach, with broader implications for the beach food web as the climate changes.
Published Vitamin discovered in rivers may offer hope for salmon suffering from thiamine deficiency disease



Researchers have discovered vitamin B1 produced by microbes in rivers, findings that may offer hope for vitamin-deficient salmon populations.
Published 'Giant' predator worms more than half a billion years old discovered in North Greenland



Fossils of a new group of animal predators have been located in the Early Cambrian Sirius Passet fossil locality in North Greenland. These large worms may be some of the earliest carnivorous animals to have colonized the water column more than 518 million years ago, revealing a past dynasty of predators that scientists didn't know existed.
Published Using AI, researchers identify a new class of antibiotic candidates



Using artificial intelligence, researchers discovered a class of compounds that can kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes more than 10,000 deaths in the U.S. each year.
Published Large language models validate misinformation



In a recent study, researchers systematically tested an early version of ChatGPT's understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction.
Published Fish display distinct individual behaviors when swimming to find food



Fish from the same species can evolve their sense of smell and display individual foraging 'personalities' to successfully find food in different habitats.
Published Clinicians could be fooled by biased AI, despite explanations



A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis.
Published AI's memory-forming mechanism found to be strikingly similar to that of the brain



An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.
Published Global inventory of sound production brings us one step closer to understanding aquatic ecosystems



Our understanding of which aquatic species produce sounds just took a big step forward. Scientists have created an inventory of species confirmed or expected to produce sound underwater.
Published Some coral species might be more resilient to climate change than previously thought



Some coral species can be resilient to marine heat waves by 'remembering' how they lived through previous ones, research suggests.
Published 15 most pressing issues for conservation, including invertebrate decline and changing marine ecosystems



Since 2009, the Cambridge Conservation Initiative has coordinated an annual horizon scan, a well-established method for predicting which threats, changes, and technologies will have the biggest impact on biological conservation in the following year. This year, the 15th horizon scan included 31 scientists, practitioners, and policymakers who developed a list of 96 issues, which they eventually narrowed down to the fifteen most novel and impactful. Their findings include topics related to sustainable energy, declining invertebrate populations, and changing marine ecosystems.
Published Artificial intelligence can predict events in people's lives



Artificial intelligence can analyze registry data on people's residence, education, income, health and working conditions and, with high accuracy, predict life events.
Published Computational model captures the elusive transition states of chemical reactions



Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.
Published Deep neural networks show promise as models of human hearing



In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.