SGI is now giving SGI Altix customers a free, one-year subscription to Interactive Supercomputings (ISC) Star-P, an interactive desktop tool for rapidly solving large scientific and engineering problems.
GenoLogics, a developer of lab and scientific data management solutions, has completed a second round of financing led by OVP Venture Partners in Seattle.
DEM Solutions, a leading developer of DEM (discrete element method) software solutions, has opened a US office in Lebanon, New Hampshire.
ClinPhone has acquired DataLabs, an electronic data capture (EDC) vendor, enabling ClinPhone to offer a comprehensive suite of clinical trial management and data capture systems.
Users of the new PerkinElmer Clarus 600 GC/MS will have the option to incorporate Ion Signature Quantitative Deconvolution Software for fast and accurate data review and evaluation.
InforSense, a provider of enterprise real-time analytics and Thermo Electron Corporation, a provider of analytical instruments, have announced a three-year OEM agreement, to integrate InforSense KDE and BioWorks.
A new study of more than 500 users, sponsored by Interactive Supercomputing, suggests difficulties in programming is increasingly becoming one of researchers biggest productivity killers.
The Numerical Mathematics Consortium has announced the latest revision to a technical specification that will resolve technical issues and includes the addition of new function definitions.
InforSense has received an investment of $10m, led by two of its largest investors, Fleming Family & Partners (FF&P) and Imperial Innovations Group.
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
