Machine Learning: A Revolution for Research?
How is machine learning becoming increasingly intertwined with a range of research fields?
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How is machine learning becoming increasingly intertwined with a range of research fields?
Trying to find a way to explain to a six-year-old how natural selection works is valuable practise for trying to write a lay summary in a grant proposal.
The Royal Society welcomes Government’s Industrial Strategy.
The Royal Society Publishing Photography Competition celebrates the power of photography to communicate science.
What machine learning could do, and barriers to its use, with global pharmaceutical companies, sector associations, regulators, start-ups and SMEs.
Scientific cooperation between the UK and Russia was boosted in August this year when Russian Prime Minister Dmitry Medvedev agreed to extend the UK-Russia Intergovernmental Agreement on Science and Technology cooperation for another 10 years.
It is useful to consider the trajectory of both scientific and literary publishing on the grid-group plane defined by Mary Douglas which arranges attitudes along two axes: one ranging from the hierarchical to the egalitarian, and the other spanning individualistic to communitarian. I would contend that, in both cases, there has been a move from the hierarchical/communitarian quadrant towards the egalitarian/individualistic zone.
Advancements in the research integrity project launched in 2011.
The European Academies, including the Royal Society, have published a joint statement.
Scientific awards, medals and prizes awarded by the Royal Society in 2016.
The reality of academia is stifling the passion and creativity needed both to enjoy science, and to do it well.
Royal Society's President, Sir Venki Ramakrishnan, on the key principles to guide the future of UK's research.
A collection of 150 personal stories from scientists who are combining a career in research with their roles as parents and carers, each in their own way.
A lack of diversity in terms of gender, disability, ethnicity, socio-economic status and background across the scientific community represents a large loss of talent to the UK.