Jana Erjavec wonders why researchers are slow to adopt software for electronic laboratory notebooks
Analysis & opinion
11 May 2016
Shailesh M Shenoy, director of the office of research computing, Albert Einstein College of Medicine, New York, discusses the challenges faced by large medical research organisations in the face of ever-growing volumes of data
27 April 2016
Virtus Data Centres managing director, Darren Watkins, explains the importance of building a data centre from the ground up to support the requirements of HPC users - while maximising productivity, efficiency and energy usage
26 April 2016
Robert Roe attends the Nvidia GTC conference and to see the latest in deep learning hardware from Nvidia
14 April 2016
ISC's Nages Sieslack highlights a convergence of technologies around HPC, a focus of the ISC High Performance conference that takes place in June
30 March 2016
Clouds can be flexible but still have to be used efficiently, according to Dr Bruno Silva, who believes that new cloud technologies will make the cloud even more important to scientific computing
22 February 2016
Tom Wilkie reports on two examples how the growth of scientific data sets is driving computing into the cloud, and asks how profoundly this will change computing for science
09 February 2016
Robert Roe reports on a new Exascale computing architecture using ARM processors is being developed by a European consortium of hardware and software providers, research centres, and industry partners, funded by the European Unions Horizon2020 research programme
05 February 2016
Dr Laura Boykin describes how the largest supercomputer in the southern hemisphere can help fight famine among East Africas farmers
15 January 2016
For science to make the software on which it increasingly depends sustainable is a social not a technical challenge, argues Dan Katz
17 December 2015
Already in the top three supercomputer vendors worldwide, Chinese companies have wider ambitions still, as Tom Wilkie reports
17 December 2015
Accelerators have come of age, but at the US supercomputing show in Austin, Texas, Tom Wilkie found a lot of interest in FPGAs as well
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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.