Articles about 'machine learning'

Following an international search, Professor Neil Lawrence has been appointed as the inaugural DeepMind Professor of Machine Learning at Cambridge, supported by a benefaction from the world-leading British AI company.

Dr Anita Faul is a Teaching Associate at the Cavendish Laboratory and a Fellow of Selwyn College, where she specialises in algorithms. Here, she tells us about what it's like to teach at Cambridge and whether we can trust the answers that computers give us. 

Researchers from the University of Cambridge will use self-healing materials and machine learning to develop soft robotics as part of a new collaborative project.

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. 

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 University 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 University 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. 

The University of Cambridge will establish a DeepMind Chair of Machine Learning, thanks to a benefaction from the world-leading British AI company.  

Powerful AI needs to be reliably aligned with human values. Does this mean that AI will eventually have to police those values? Cambridge philosophers Huw Price and Karina Vold consider the trade-off between safety and autonomy in the era of superintelligence.