Pavel Pevzner, chair professor of computer science, University of California, San Diego
Felix Grant opens his eyes to the world of visualisation
Felix Grant on how statistical computing is charting the evolution of the brain and skull
Choices of data acquisition software are clouded by a bewildering array of data formats. For successful integration from instrument to analysis package, the simplest option is often the best, discovers Sian Harris.
Clare Samson discovers how ELNs are finding a home in bioinformatics applications
David Robson on how molecular modelling is making headway in the laborious process of drug discovery.
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.
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.
