Additive manufacturing (AM) has already undergone substantial advances over the past two decades since its renaissance in the early 2000s, solidifying its position as a viable manufacturing technology ...
Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.
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Biology-inspired brain model matches animal learning and reveals overlooked neuron activity
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...
Vaccines are vital for human health, a fact that has been highlighted by the recent coronavirus disease 2019 (COVID-19) pandemic. They are regarded as the safest and most cost-effective approach ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
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