Externalization of R&D activities and the deluge of instrumental analytical data generated on a daily basis has resulted in increasing interest in analytical data standardization. Any standardization efforts, however, to either a single format or for data exchange between formats; should be weighed against the requirements of different users of that data, and hardware innovations.
The benefit of design exploration and optimization is understood and accepted by engineers but the required intensive computational resources have been a challenge for their adoption into the design process.
With the resurgence of systems engineering in full swing, Guy Johns, Lead Technologist at CFMS, explores the promise of web technologies
Sophia Ktori highlights the role of the laboratory software in the use of medical diagnostics
Gemma Church explores the use of modelling and simulation to predict weather and climate patterns
Robert Roe reviews the latest in accelerator technology and finds that GPUs and coprocessors will be key fixtures in the future of deep learning
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.