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02 May 2018

Robert Roe talks to Southampton University’s Oz Parchment about the decision-making behind the latest HPC system at the University

02 May 2018

With innovation in cooling technology increasingly more important to ensure energy, performance and cost efficiency of HPC, Keely Portway speaks to experts to find out what is driving the latest innovations

02 May 2018

Robert Roe discusses the potential for software-defined storage with Excelero’s Josh Goldenhar

01 May 2018

Robert Roe looks at recent developments in processor and accelerator technology

01 March 2018

Robert Roe looks at the use of precision medicine and its potential impact on laboratory informatics software

01 March 2018

Data types used are advancing from the simple text formats of old, writes Paul Denny-Gouldson

01 March 2018

Gemma Church looks at the use of additive manufacturing processes in engineering

01 March 2018

The failure of a candidate drug can cost millions – so many chemists are turning to software that provides modelling capabilities and multi-parameter optimisation

01 March 2018

Robert Roe interviews laboratory informatics software providers who discuss potentially disruptive technologies and their impact on the laboratory informatics market

01 March 2018

This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment

01 March 2018

This chapter looks at how to build a smart laboratory; what approaches to take; and how to deal with potential problems. Inevitably, becoming ‘smart’ takes time, not only due to the level of investment required, but also because of the impact of change and the need to consider legacy requirements.

01 March 2018

This chapter considers who cares about how smart the laboratory is, and why? It also looks at the broader business requirements and their impact on the laboratory, with an emphasis on productivity and business efficiency, integration with manufacturing and business systems, patent evidence creation, regulatory compliance, and data integrity and authenticity

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