The development of LIMS will involve not only integrated data, but integration with enterprise applications, in Kevin Smith's view
We must move beyond software designed to solve single physics problems, according to Lars Langemyr
Clare Sansom talks to Janet Thornton, a pioneer of computing for the life sciences
Conrad Wolfram believes we should treat computers like cars: we should specify the problem and let the computer do the working out
Tom Wilkie looks at 10 years of scientific computing
Web services will offer a way for LIMS to integrate with enterprise resource planning systems, says Peter Rees
Rohit Khanna looks forward to the integration of instruments and software to master the mounds of data created in the lab
Dr John McAlister finds that scientific computing is not an end in itself but that success depends on it
Susie Stephens and Dennis Constantinou see Grid computing as the way to master the flood of information from the life sciences
Jack Little believes that model-based design is the best way to turn new ideas into real things
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.
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.
