The past few years has seen an explosion in the number of studies using organoids – so-called ‘mini organs’. While they can help scientists understand human biology and disease, some in the field have questioned their usefulness. But as the field matures, we could see their increasing use in personalised and regenerative medicine.
What connects a series of volcanic eruptions and severe summer cooling with a century of pandemics, human migration and the rise and fall of civilisations? Tree rings, says Ulf Büntgen, who leads Cambridge’s first dedicated tree-ring laboratory in the Department of Geography.
Police at the “front line” of difficult risk-based judgements are trialling an AI system trained by University of Cambridge criminologists to give guidance using the outcomes of five years of criminal histories.
Fairness, trust and transparency are qualities we usually associate with organisations or individuals. Today, these attributes might also apply to algorithms. As machine learning systems become more complex and pervasive, Cambridge researchers believe it’s time for new thinking about new technology.
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.
Truffles are one of the world’s most expensive ingredients, and also one of the most mysterious. Now, with the help of a 170-year-old ‘living laboratory’, and a dog called Lucy, researchers hope to unearth new understanding of the secret life of these underground delicacies.
‘Women scientists have built our world. It’s time to invest in them’ – The Cambridge women campaigning for gender equality in science11 Feb 2018
“I was taught that the way of progress is neither swift nor easy”.
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?