Certara, the provider of decision support technology and consulting services for optimising drug development and improving health outcomes, has announced the availability of D360 Express
Scientists at TGAC, alongside European partners, have created BioJavaScript (BioJS), a free open source community for the lifesciences
Founded in 1984 by a group of Norwegian scientists, CAMO Software are pioneers and an established leader in multivariate data analysis. Today, CAMO Software has offices around the globe and works with some of the world’s most prestigious organizations.
Maplesoft has released a Calculus Study Guide
Spotfire 6.5, the latest version of TIBCO's analytics platform, is now available
Oxford Gene Technology (OGT) has annouced the latest version (4.5.3) of its CytoSure Interpret software
Nvidia and VMware have announced that Nvidia Grid technology is available on the VMware Horizon DaaS Platform
Virtual Instruments, a developer of Infrastructure Performance Management (IPM) solutions for physical, virtual and cloud computing environments, has announced the VirtualWisdom SolutionPack for the EMC Storage Resource Management (SRM) Suite
AgileBio, an IT solutions company providing web-based software for life sciences, has announced the release of a new add-on for its LabCollector software called Query Builder
Golden Software has announced the release of Surfer 12, a software package which transforms data into presentation-ready maps.
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
