The University of Cambridge is set to receive a new AI supercomputer as part of a £10 million partnership between the Engineering and Physical Sciences Research Council (EPSRC), the Science and Technology Facilities Council (STFC) and the University
The best research needs ideas from a wider range of people and publications, writes Anita Schjøll Brede
A team of academic researchers and industrial experts are concluding a successful three-year research collaboration which has tackled the challenges of producing new software for high-performance AI and other data-intensive applications
UK-based driving simulation company, rFpro, has launched a commercial platform to train and develop autonomous vehicles using simulation
At last week’s Nvidia GTC conference the company announced three new products aimed squarely at the datacentre and AI markets
Iris.ai, an artificial intelligence tool which helps researchers find relevant scientific papers and journals, today announced the launch of version 4.0
Some 44 per cent of life science professionals are using or experimenting with AI and deep learning, while 94 per cent expect an increase in use of machine learning within two years
Intellegens, a new company spun out of the University of Cambridge to develop and commercialise novel artificial intelligence (AI) software, has received funding from Cambridge Enterprise and local angel investor Graham Snudden
Cray has announced the Company has joined the Big Data Center (BDC) at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC)
Some 99 drafts of scientific papers have been generated so far by a manuscript writer launched three weeks ago, according to the electronic lab notebook company sciNote
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
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
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.
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
