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One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of images. An accomp...
2022年5月,清华大学政治学系胡悦副教授、爱荷华大学邰月红及爱荷华大学Frederick Solt共著的题为“Democracy, Public Support, and Measurement Uncertainty”一文,在政治学顶级期刊American Political Science Review(《美国政治科学评论》)上网络首发。三位研究者聚焦民主政权与公众支持的关系,并且对这一领域...
With so many COVID-19 models being developed, how do policymakers know which ones to use?A new process to harness multiple disease models for outbreak management has been developed by a team of resear...
In her most recent book, physicist Lisa Randall--Harvard professor, libretto composer, Lego figurine, star in the world of theoretical physics--writes that the universe repeatedly reveals itself ...
PROVIDENCE, R.I. [Brown University] — Mathematicians from Brown University have introduced a new element of uncertainty into an equation used to describe the behavior of fluid flows. While being as ce...
Caltech researchers have found a way to make measurements that go beyond the limits imposed by quantum physics.Today, we are capable of measuring the position of an object with unprecedented accuracy,...

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