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Royal Society Open Science has commissioned a new collection of papers exploring the impact of machine learning, artificial intelligence, and Big Data within science and society.

A data-driven transition to net zero, in which data and digital technologies are used both for monitoring and optimisation of carbon emissions, is an area of increasing attention on the global stage.

Professor Sir Keith Burnett FRS writes following the Royal Society's recent workshop with the Chinese Academy of Sciences on Artificial Intelligence.

Andrew Rice and Adrian Friday are members of the Working Group chaired by Andy Hopper FRS and leading the Royal Society’s Digital technology and the planet project.

We rely upon computers for almost everything we do. But could they do more? Should we be looking to digital technologies to help us tackle perhaps the greatest challenge facing the planet – climate change?

In the first of our series of blogposts about machine learning in research, we heard from Dr Neale Gibson, who told us about how machine learning is being put to use in astronomy research.

91TV held its first ever hackathon, themed around machine learning and Hacking Happiness, in partnership with Digital Catapult, on 16 and 17 January. This was also the first hackathon for me.

Regular blog readers will be aware that the Royal Society is conducting a project on the opportunities and challenges posed by machine learning in the next decade.

Machine learning has the potential to transform a range of business sectors, from the pharmaceutical sector, to manufacturing, transport and utilities. What will it mean for the UK’s strong global legal hub?