The methods used in analysing patient drug trials and motor engine tests could be used to solve many problems in other industries, argues The Mathworks' Dr Tanya Morton
John Murphy profiles Paul Messina, former director of the Center for Advanced Computing Research at CalTech
Virtual instrumentation is changing the way scientists measure and automate the world. Gricha Raether of National Instruments assesses recent developments in this cutting edge field
The paperless laboratory, and managing information for life sciences' researchers, are among the themes discernible during SCW's regular review of the LIMS world, Tom Wilkie writes
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
