Through the use of cutting-edge simulation, software engineers are developing innovative new wind energy technology and increasing the efficiency and durability of wind turbines. The drive to find sustainable energy sources is one of the most pressing concerns facing society.
Laboratory Informatics Guide 2018
Taking aim at LIMS software
1 March 2018
Robert Roe looks at the use of precision medicine and its potential impact on laboratory informatics software
Data lakes and cloud computing
1 March 2018
Data types used are advancing from the simple text formats of old, writes Paul Denny-Gouldson
Synergy between man and machine
1 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
The future of laboratory informatics
1 March 2018
Robert Roe interviews laboratory informatics software providers who discuss potentially disruptive technologies and their impact on the laboratory informatics market
2017: A year of disruption in the laboratory?
28 February 2018
Robert Roe looks back over the year at technology and processes driving trends in the laboratory
Artificial intelligence reshapes the future of medicine
28 February 2018
Robert Roe explores the use of AI technology in healthcare and medicinal research
Latest issue
Dame Sally Davies, the outgoing Chief Medical Officer for England, pulls no punches when it comes to the threat of antibiotic resistance. She has called for an ‘Extinction Rebellion-type’ response to it, describing it as ‘catastrophic’ and ‘as dangerous as climate change’.
The Pistoia Alliance has been pioneering initiatives that will support organisations as they work to enable and engage Fair (findable, accessible, interoperable, reusable) principles of data management and stewardship in their organisations.
Achronix and Bittware collaborate on a new FPGA designed for cloud, AI and machine learning applications, writes Robert Roe
By increasing the energy efficiency of a supercomputer scientists can save huge amounts of money over the total lifecycle of the system. With ever-increasing core counts and increasingly large supercomputers, the drive for increased computational power comes at a cost.
