AI Could Predict How Nature Changes, If Ecologists Learn to Read Organisms’ Senses
Researchers propose combining deep learning with organism-based ecology and new sensory instruments to build AI models capable of forecasting how ...
Researchers propose combining deep learning with organism-based ecology and new sensory instruments to build AI models capable of forecasting how ...
A new genus and species of click beetle from the mountains of the Dominican Republic is the first endemic elaterid ...
A new study of Mexico's Transmexican Volcanic Belt shows that environmental heterogeneity, historical climate shifts, and soil temperature drive striking ...
New IUCN assessments classify five little-known flowering plants from Central Asia and Sardinia as Endangered, highlighting how overgrazing, development and ...
A new survey of Tbilisi's spider fauna records three species new to Georgia, including one new to the entire Caucasus, ...
A seven-year study combining captive breeding and multigene phylogenetics has revealed that black egg-eating snakes in Ethiopia's Harenna Forest are ...
A global analysis finds that 34 percent of current mining land overlaps with post-2020 conservation priority zones, threatening more than ...
A digitisation project at the Natural History Museum Vienna has documented 776 bird specimens from Montenegro, including 546 never-before-published eggs, ...
An integrative taxonomic study combining male genital morphology with mitochondrial COI DNA barcoding has revealed four new species and four ...
Metabarcoding of peat, litter, wood and mycorrhizal roots in a Siberian raised bog reveals roughly 11,500 fungal species hypotheses, with ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine