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A trial in which trainee teachers who were being taught to identify pupils with potential learning difficulties had their work ‘marked’ by artificial intelligence has found the approach significantly improved their reasoning.

Marcel Gehrung, co-founder and CEO of rapidly growing Cambridge biotech company, Cyted, on revolutionising disease diagnostics and the challenges of building a business during a pandemic.  

Researchers have used a combination of automated text analysis and the ‘robot scientist’ Eve to semi-automate the process of reproducing research results. ̽»¨Ö±²¥problem of lack of reproducibility is one of the biggest crises facing modern science.

Humans are usually pretty good at recognising when they get things wrong, but artificial intelligence systems are not. According to a new study, AI generally suffers from inherent limitations due to a century-old mathematical paradox.

Meet the young biotech entrepreneur with two companies to her name and a plan to revolutionise the way we manage our health.

Work at the Leverhulme Centre for the Future of Intelligence will aim to prevent the embedding of existing inequalities – from gender to class and race – in emerging technologies.  

Researchers in the UK and China have developed an artificial intelligence (AI) model that can diagnose COVID-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.

A global hacker 'red team' and rewards for hunting algorithmic biases are just some of the recommendations from experts who argue that AI faces a 'tech-lash' unless firm measures are taken to increase public trust.

Researchers have developed a new approach to machine learning that ‘learns how to learn’ and out-performs current machine learning methods for drug design, which in turn could accelerate the search for new disease treatments.

GE Healthcare, the ̽»¨Ö±²¥ of Cambridge and Cambridge ̽»¨Ö±²¥ Hospitals have agreed to collaborate on developing an application aiming to improve cancer care, with Cambridge providing clinical expertise and data to support GE Healthcare’s development and evaluation of an AI-enhanced application that integrates cancer patient data from multiple sources into a single interface.