In January 2020 the American Diabetes Association released a new set of clinical standards that, for the first time, included the use of an FDA-approved autonomous artificial intelligence (AI) platform for detecting diabetic retinopathy in people with diabetes.
HPC 2017-18
The Best HPC Applications of 2017
10 November 2017
Gemma Church explores applications at the forefront of HPC research
The path to an energy-efficient exascale supercomputer
10 November 2017
Adrian Giordani explores the methods used to accurately measure the performance of supercomputers
AI drives new computing technologies
10 November 2017
Robert Roe looks at advances in AI computing technology
CAE turns to HPC
10 November 2017
Robert Roe interviews Ansys’ Wim Slagter on the value of HPC technology within the CAE market
Firing up a continent
25 October 2017
Nox Moyake describes the process of developing an HPC infrastructure in South Africa
Continental ambitions
25 October 2017
Robert Roe looks at European and North America efforts to establish exascale computing programmes in the next five to seven years
Latest issue
At the end of February physIQ and the US Department of Veteran’s Affairs published data from a clinical trial demonstrating the use of physIQ’s machine-learning algorithm to predict when an individual patient with previously diagnosed heart failure will likely require a readmission to hospital.
Cloud research tools provide a platform for new avenues of scientific research by providing fast access to bare-metal resources.
New processors and GPU technology continue to demand more power than the previous generations, combining this with increasingly dense architectures requires cooling solutions such as liquid or immersion cooling.
Tate Cantrell, CTO, Verne Global, comments on the cost of the AI computing revolution
European researchers are working on a new programming environment for exascale computing that aims to make using these systems more efficient and programmers more productive.
