Wolfram has released Mathematica 9, which boasts 400 new capabilities in 57 different application areas
SystemModeler, a high-fidelity modelling environment that uses versatile symbolic components and computation to drive design efficiency, has been released
Wolfram has introduced the free Mathematica player, which allows users to access Mathematica notebook files without a fully licensed copy of Mathematica.
Built on Eclipse, Workbench is suitable for all stages of the development process, enabling programmers to build, debug, and deploy Mathematica applications more efficiently.
When the imminent Mathematica release 5.0 was announced, at the beginning of June, it was the first full-digit upgrade for four years. Even incremental updates had only come twice within that time; that's unusual these days. Admittedly, Wolfram Research has been putting a lot of its attention into a broadened market base with collateral product releases but, nevertheless, a major version caused ears to prick up. The final beta appeared shortly thereafter (the full release appearing in early July) so I've had it out on the road for about two months now, at the time of writing.
Brian Cogan analyses the opportunities presented by webMathematica, an online version of the successful Wolfram software.
The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Estimates suggest that the global laboratory informatics market, valued at $2.6 billion in 2019, will witness CAGR of 7.5 per cent over the next five years, reaching $3.8 billion in 2024[1].
Modern drug discovery and development workflows incorporate a growing range of automated, high-throughput technologies that can generate data on a truly impressive scale.
‘This will be the life sciences century … because of personalised medicine, information technology, and knowledge on biological systems,’ said Fred Hassan, a partner of Warburg Pincus and former CEO of Schering-Plough.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
