Neural Networks Taught to Respect Physics Even Without Equations
Researchers have shown that imposing hard constraints on the direction of input-output effects during neural network training guarantees physically consistent...
Cassandra Pierce is a Scienmag editorial specialist profile for Systems Neuroscience coverage.
Researchers have shown that imposing hard constraints on the direction of input-output effects during neural network training guarantees physically consistent...
Researchers have built a two-stage deep learning workflow that converts routine brain MRI into CT-like images and attenuation-corrected PET scans,...
A new study links low vitamin D to severe muscle wasting after spinal cord injury and shows supplementation preserves muscle...
A new study in Neurocritical Care links GLP-1 receptor agonist use to improved survival in patients undergoing surgery for traumatic...
Researchers have developed Foldinsight, a framework that uses AlphaFold2-predicted structures and molecular field descriptors to model and spatially interpret the...
A new review in the Journal of Translational Medicine details how lactate and protein lactylation act as a double-edged sword,...
Researchers in India combined EfficientNet-B0 and a transformer encoder to classify Alzheimer's disease from multi-slice MRI scans, achieving 88 percent...
A two-year Taiwanese cohort study using the new ESPEN–EASO consensus definition found that older adults with sarcopenic obesity—and a simpler...
Researchers in Iran have developed CNNHSIE, an image encryption algorithm that combines hyperchaotic systems with a VGG16 convolutional neural network...
Kyushu University researchers found that sitting on Igusa rush grass mats, the surface material of tatami, was associated with increased...
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© 2025 Scienmag - Science Magazine