This webcast has been designed to provide a guide to laboratory users who wish to increase their capacity for data transfer and collaboration.
Resources
15 December 2016
With the resurgence of systems engineering in full swing, Guy Johns, Lead Technologist at CFMS, explores the promise of web technologies
23 November 2016
This white paper provides an overview of cloud pricing models and a high-level description of how they could be applied to performing engineering simulation using ANSYS Enterprise Cloud, while optimizing your hardware spend on Amazon Web Services (AWS).
11 November 2016
Sanjay Khetia, Chief Technology Officer at the Centre for Modelling and Simulation (CFMS), talks about Industry 4.0, and the use of modelling and simulation to explore its possibilities.
04 November 2016
This white paper describes eight best practices for cloud deployments that are fundamentally related to simulation data and end user access, licensing, HPC workloads, and business support.
Pages
Latest issue
Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records are created and stored for clinical trials.
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Scientists are now beginning to use new technologies such as the internet of things (IoT), artificial intelligence (AI) and machine learning (ML) in their daily workflows.
In today’s world, where drug development integrates science and technology, consumer safety is paramount in the pharmaceutical industry.