An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
One of the most pervasive and significant challenges in materials science is the prediction of the equilibrium structure and properties of interfaces in multicomponent systems as processing variables ...
Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...
Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...
A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with specific functions, from antibodies to blood clotting agents, by using ...
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NYU Tandon researchers unveil new algorithm to dramatically speed up stroke detection scans
By rethinking the mathematical models that power CT scanners and similar technologies, researchers were able to shorten the length of time needed for microwave image reconstructions from nearly an ...
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Machine learning algorithm that predicts properties' values benefits housing market, says study
Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers have studied the impact of a ...
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