This course is primarily intended for students taking MSc Applicable Mathematics. It may also be taken by other students having a suitable mathematical background. This course uses mathematical ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

A new accelerator chip called 'Hiddenite' that can achieve state-of-the-art accuracy in the calculation of sparse 'hidden neural networks' with lower computational burdens has now been developed. By ...

The Bank of England is applying a fusion of machine learning (ML) with economic theory to better understand complex phenomena ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

A controversy with Samsung's phone cameras has renewed the conversation surrounding computational photography, and highlights the difference between it, and Apple's approach in iOS. It isn't a big ...