The internet names a new deep-sea species, Senckenberg researchers select a scientific name from over 8,000 suggestions.
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Updates every hour. Last Updated: 26-Apr-2026 20:16 ET (27-Apr-2026 00:16 GMT/UTC)
Through a unique collaboration between the Senckenberg Ocean Species Alliance (SOSA), Pensoft Publishers, and science communicator Ze Frank, a new species of deep-sea chiton has officially been named by the public. Following a week-long viral campaign that invited global name suggestions, the species’ formal scientific description was published today in the Biodiversity Data Journal.
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated classification of human stem cell-derived embryo models (blastoids). By leveraging a ResNet-18 architecture and a novel Confidence Rate metric, the model achieves up to 97% accuracy and processes images 1,000 times faster than human experts. This tool facilitates large-scale drug screening and basic research into early human development by providing a standardized, objective evaluation framework.
Deep brain stimulation is a key procedure in the treatment of Parkinson's disease. Researchers have now identified the optimal target network in the human brain / publication in 'Brain'
Spin density symmetry breaking in single-atom catalysts can significantly enhance the performance of hydrogen evolution reactions. Through interpretable machine learning and theoretical calculations, the research team quantified basic features into composite descriptors with well-defined structure-activity relationships, revealing a direct correlation between spin density symmetry breaking and catalytic activity, and offering new insights for the rational design of high-efficiency catalysts.