New approach needed for defining AI standards in cybersecurity, say Oxford academics

Leading experts in cybersecurity and ethics from Oxford Internet Institute, University of Oxford Dr Mariarosaria Taddeo and Professor Luciano Floridi and Professor Tom McCutcheon from Defence Science and Technology Laboratories’  believe the current approach to defining standards and certification procedures for Artificial Intelligence (AI) systems in cybersecurity is risky and should be replaced with an … Read more New approach needed for defining AI standards in cybersecurity, say Oxford academics

Principles are no guarantee of ethical AI, says Oxford ethicist

A leading expert in data ethics at Oxford Internet Institute, University of Oxford, believes the establishment of principles for the governance of Artificial Intelligence (AI) will not guarantee its trustworthy or ethical use by companies and organisations. Dr Brent Mittelstadt’s paper ‘Principles alone cannot guarantee ethical AI’, published in the journal Nature Machine Intelligence, argues that a … Read more Principles are no guarantee of ethical AI, says Oxford ethicist

On the way to intelligent microrobots

Researchers at the Paul Scherrer Institute PSI and ETH Zurich have developed a micromachine that can perform different actions. First nanomagnets in the components of the microrobots are magnetically programmed and then the various movements are controlled by magnetic fields. Such machines, which are only a few tens of micrometres across, could be used, for … Read more On the way to intelligent microrobots

Scientists should have sex and gender on the brain

Thinking about sex and gender would help scientists improve their research, a new article published today argues. Writing in a special 150th anniversary edition of Nature, five experts say these factors are too often ignored. They say incorporating sex (the biological attribute distinguishing females, males or intersex/hermaphrodite individuals) and gender (psychological, social and cultural factors affecting … Read more Scientists should have sex and gender on the brain

Adversarial explanations for understanding image classification decisions and improved neural network robustness

Like humans, Machine Learning (ML)-based systems sometimes make the wrong decision. However, while humans are able to reason about and explain their decisions, ML-based systems do not have a means of reliably informing users of the reasoning behind a decision. This fault is exacerbated by the instability of ML-based systems: they can yield a completely … Read more Adversarial explanations for understanding image classification decisions and improved neural network robustness

Artificial intelligence driving digital pathology

An upgrade in The University of Queensland’s artificial intelligence capabilities could help to revolutionise pathology laboratories across Australia. Professor Brian Lovell said UQ’s high-performance computer, Weiner, was now able to deliver unprecedented performance for image processing and deep learning algorithms, allowing advancements in digital pathology. “We’ve also managed to run a number of graphics processing … Read more Artificial intelligence driving digital pathology

Learning from mistakes and transferable skills – the attributes for a worker robot

Practise makes perfect – it is an adage that has helped humans become highly dexterous and now it is an approach that is being applied to robots. Computer scientists at the University of Leeds are using the artificial intelligence (AI) techniques of automated planning and reinforcement learning to “train” a robot to find an object … Read more Learning from mistakes and transferable skills – the attributes for a worker robot

Numbers limit how accurately digital computers model chaos

The study, published today in Advanced Theory and Simulations, shows that digital computers cannot reliably reproduce the behaviour of ‘chaotic systems’ which are widespread. This fundamental limitation could have implications for high performance computation (HPC) and for applications of machine learning to HPC. Professor Peter Coveney, Director of the UCL Centre for Computational Science and study … Read more Numbers limit how accurately digital computers model chaos

Figuring out fake news

The ability to determine what’s real and what’s fake online could soon become a little easier thanks to artificial intelligence systems and research developed at The University of Queensland. Data scientist Associate Professor Dr Gianluca Demartini said the aim of the project was to establish an online safety benchmark for the identification of fake news. … Read more Figuring out fake news

‘Soft tactile logic’ tech distributes decision-making throughout stretchable material

Inspired by octopuses, researchers have developed a structure that senses, computes and responds without any centralized processing – creating a device that is not quite a robot and not quite a computer, but has characteristics of both. The new technology holds promise for use in a variety of applications, from soft robotics to prosthetic devices. … Read more ‘Soft tactile logic’ tech distributes decision-making throughout stretchable material