Computing applied to the earth sciences will save human lives, according to Felix Grant
Gemma Church finds out how scientists are using HPC to predict climate and weather more accurately and efficiently
The increase in automation in forensic science in the last few years has led to a requirement for data management systems. Greg Blackman looks at the importance of LIMS in forensic laboratories
While GPUs (graphics processing units) were initially designed to accelerate video and gaming, vendors of science and engineering software are using them to accelerate their code. Paul Schreier looks at the benefits for today and tomorrow
Professor Marek Niezgódka, Director of the ICM Centre at the University of Warsaw, explains why the centre heads the Green Top500 list and concentrates on open systems
Trevor Heritage, president, Symyx Software
Paul Schreier reviews a sample of the applications and breakthrough products that advanced optics software have made possible
Dietmar Maringer, professor of computational management sciences, University of Basel
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.
