The rise and rise of big data promises to drive increasingly imaginative scientific computing approaches, 
says Felix Grant
Beth Harlen reports on the strides being made within the UK climate modelling community
Our ability to digitise the world around us now readily outstrips our ability to process the data we generate. 
Rob Baxter reports
John Barr offers his take on the future of cloud computing and HPC
A level of debate surrounds the question of how and when we might reach exascale computing. Industry experts share their views on the subject
Andrew Jones explains why, 
when it comes to high-performance computing, science/dollar is not 
the same as Flops/dollar
Are informatics solutions keeping up with trends in pharma? Beth Harlen speaks to industry figures
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
