Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using ...

If you push an AI system too hard by giving it unclear prompts, making it do too many things at once or skipping context, it ...

Over the past decade, kitchens have evolved at a breathtaking pace. With every new technological innovation, we have witnessed more integrated and sustainable solutions that make cooking safer and ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra.

Singular Value Decomposition (SVD): A matrix factorisation method that expresses a given matrix as the product of two orthogonal matrices and a diagonal matrix containing singular values.

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Studies suggest that up to 95 percent of youth ages 13–17 use a social media platform, with many reporting constant use.