Quantum computers, systems that process information leveraging quantum mechanical effects, could soon outperform classical computers on some complex computational problems. These computers rely on ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

We have now moved into a purpose-built £40M new building at Upper Mountjoy in Durham, which is indicative of the major investment the University is making in Computer Science. The building also ...

Abstract: Hamming code and Extended Hamming code are linear error-correcting codes used for detecting and correcting errors in digital data transmission. They help in maintaining data integrity and ...

Under-representation of women in computing persists, despite energetic reform efforts. To guide strategies for change, we need deeper insight into the changing dynamics of gender bias. Analyzing ...

Abstract: Bit-flips caused by single-event upsets (SEUs) are a well-known problem in computer memories. A SEU is a change of state (bit-flip) caused by one single ionizing particle (e.g., ions, ...

It has been proposed that machine learning techniques can benefit from symbolic representations and reasoning systems. We describe a method in which the two can be combined in a natural and direct way ...

Deep neural networks (DNN) are becoming fundamental learning devices for extracting information from data in a variety of real-world applications and in natural and social sciences. The learning ...

We present a simple yet effective deep learning framework to create the hash-like binary codes for fast image retrieval. We add a latent-attribute layer in the deep CNN to simultaneously learn domain ...

A dynamical theory for the evolution of the genetic code is presented, which accounts for its universality and optimality. The central concept is that a variety of collective, but non-Darwinian, ...