A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Abstract: To enhance design flexibility for frequency selective surfaces (FSSs), a machine learning-based inverse topological design method (ITDM) incorporating non-uniform rational B-splines (NURBSs) ...
Abstract: Temperature fluctuations can influence the stability of Deoxyribonucleic Acid (DNA), affecting recombination and mutation rates. Inspired by these biological mechanisms, we introduce a new ...
Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
If one were to map the trajectory of global AI governance, the geographic markers would tell a story of diminishing caution.
Georgia Tech researchers applied their expertise to a national research program that will shape the future of computing.
A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
When it comes to the role of AI in our lives, the conundrum we have to crack is if—and how consciously—we inhabit our own minds.
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