Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Across parks and schoolyards, parents are trading the same uneasy observation: playtime feels more chaotic, more physical, ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Abstract: There is a vast literature on representation learning based on principles such as coding efficiency, statistical independence, causality, controllability, or symmetry. In this paper we ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...