Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

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 ...

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths. Applying machine learning to find the properties of atomic ...

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 ...

String theory captured the hearts and minds of many physicists decades ago because of a beautiful simplicity. Zoom in far enough on a patch of space, the theory says, and you won’t see a menagerie of ...

Artificial intelligence startup Symbolica emerged from stealth today and unveiled a novel approach to constructing AI models, leveraging advanced mathematics to imbue systems with human-like reasoning ...