The science of diagnostics
1 June 2017
Sophia Ktori highlights the role of the laboratory software in the use of medical diagnostics
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
June/July 2017
Whatever the weather
1 June 2017
Gemma Church explores the use of modelling and simulation to predict weather and climate patterns
Accelerating demand
1 June 2017
Robert Roe reviews the latest in accelerator technology and finds that GPUs and coprocessors will be key fixtures in the future of deep learning
Storage ambitions
1 June 2017
Robert Roe finds that commoditisation of flash and SSD technology and the uptake of machine learning and AI applications are driving new paradigms in storage technology.
Predicting the future of the laboratory
13 April 2017
The first in series of articles covering the Paperless Lab Academy conference – in this article Robert Roe looks at the importance of adopting digital technologies - the benefits and pitfalls that laboratories face when on the road to digital convergence.
Latest issue
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
