Twenty-six experts on the security implications of emerging technologies have jointly authored a ground-breaking report – sounding the alarm about the potential malicious use of artificial intelligence (AI) by rogue states, criminals, and terrorists.
Cambridge researchers are pioneering a form of machine learning that starts with only a little prior knowledge and continually learns from the world around it.
What makes a city as small as Cambridge a hotbed for AI and machine learning start-ups? A critical mass of clever people obviously helps. But there’s more to Cambridge’s success than that.
In the popular imagination, robots have been portrayed alternatively as friendly companions or existential threat. But while robots are becoming commonplace in many industries, they are neither C-3PO nor the Terminator. Cambridge researchers are studying the interaction between robots and humans – and teaching them how to do the very difficult things that we find easy.
Our lives are already enhanced by AI – or at least an AI in its infancy – with technologies using algorithms that help them to learn from our behaviour. As AI grows up and starts to think, not just to learn, we ask how human-like do we want their intelligence to be and what impact will machines have on our jobs?
Today we begin a month-long focus on research related to artificial intelligence. Here, four researchers reflect on the power of a technology to impact nearly every aspect of modern life – and why we need to be ready.
An ingredient commonly found in toothpaste could be employed as an anti-malarial drug against strains of malaria parasite that have grown resistant to one of the currently-used drugs. This discovery, led by researchers at the University of Cambridge, was aided by Eve, an artificially-intelligent ‘robot scientist’.
How effective is psychological targeting in advertising? Dr Sandra Matz, a former PhD student at Cambridge now based at Columbia University, and her co-authors, including Dr David Stillwell from the Cambridge Psychometrics Centre, have published a new study which demonstrates that companies only need one Facebook ‘like’ to effectively target potential customers.
A group of researchers from the UK and the US have used machine learning techniques to successfully predict earthquakes. Although their work was performed in a laboratory setting, the experiment closely mimics real-life conditions, and the results could be used to predict the timing of a real earthquake.
Could replicants ever be a reality? In this article from The Conversation, Fumiya Iida (Department of Engineering) discusses what it would take to make a truly life-like robot.