Artificial intelligence (AI) algorithms based on neural networks have been designed for
decades with the goal of maximising some measure of accuracy. This has led to two …

In this survey, we aim to explore the fundamental question of whether the next generation of
artificial intelligence requires quantum computing. Artificial intelligence is increasingly …

The recent shift from predominantly hardware-based systems in complex settings to systems
that heavily leverage non-deterministic artificial intelligence (AI) reasoning means that …

Over the last decade, the constellation of computing technologies referred to as artificial
intelligence (AI) has emerged into the public view as an important frontier of technological …

Building correct, efficient systems that reason about the approximations produced by
sensors, machine learning, big data, humans, and approximate hardware and software …

Quantum computing is one of the most enticing computational paradigms with the potential
to revolutionize diverse areas of future-generation computational systems. While quantum …

Recent years have seen tremendous progress in quantum computing research, due in no
small part to significant investment from major companies (Google, NASA, IBM, Intel …

Machine learning is a computational process. To that end, it is inextricably tied to
computational power-the tangible material of chips and semiconductors that the algorithms …

Brain-inspired, inherently parallel computation has been proven to excel at tasks where the
intrinsically serial Von Neumann architecture struggles. This has led to vast efforts aimed …

Quantum computing has made considerable progress in recent years in both software and
hardware. But to unlock the power of quantum computers in solving problems that cannot be …