Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...
Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...
Simon Clark on MSN
What's it like studying string theory at Oxford?
String theory and machine learning - two hot topics in physics, but how do you combine them? I'm talking to Thomas, a PhD ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...
Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques, and seek to deepen our understanding of existing ones. Machine learning provides the ...
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