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Maria Skoularidou is a PhD candidate in the MRC Biostatistics Unit. Here, she tells us about her work in the emerging field of probabilistic machine learning, meeting 'living legends', and her work supporting and advocating for people with disabilities working in AI. 

A vegetable-picking robot that uses machine learning to identify and harvest a commonplace, but challenging, agricultural crop has been developed by engineers.

Scientists have identified mechanisms in the human brain that could help explain the phenomenon of the ‘Uncanny Valley’ – the unsettling feeling we get from robots and virtual agents that are too human-like. They have also shown that some people respond more adversely to human-like agents than others.

A fleet of driverless cars working together to keep traffic moving smoothly can improve overall traffic flow by at least 35 percent, researchers have shown.

Machine learning can be used to predict the properties of a group of materials which, according to some, could be as important to the 21st century as plastics were to the 20th.

In a new film, leading Cambridge ̽»¨Ö±²¥ researchers discuss the far-reaching advances offered by artificial intelligence – and consider the consequences of developing systems that think far beyond human abilities.

A new Centre at the ̽»¨Ö±²¥ of Cambridge will develop artificial intelligence techniques to help address some of the biggest threats facing the planet. 

Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease. 

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. Click here to find out more.

We have been writing about artificial intelligence for almost as long as stories have been written. Now, researchers want us to consider why the stories we tell ourselves about AI will have an impact on all our futures.