Alison Kennedy discusses why self-help will not be enough to overcome the challenge of XXscale in the HPC industry
Robert Roe looks at the software that can manage a product from the cradle to the grave - and beyond
A globally harmonised system for labelling all containers in the laboratory, drawing the information from the laboratory informatics system, would be a very good thing, surely? Not so, says Gloria Metrick
Reagan W Moore argues that policy-based data-management systems are the next stage in the evolution of large-scale data management
A Europe-wide project to help scientists make better use of their data is entering its final year. Laurence Field looks at the lessons
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
