Alison Kennedy discusses why self-help will not be enough to overcome the challenge of XXscale in the HPC industry
Robert Roe looks at the software that can manage a product from the cradle to the grave - and beyond
A globally harmonised system for labelling all containers in the laboratory, drawing the information from the laboratory informatics system, would be a very good thing, surely? Not so, says Gloria Metrick
Reagan W Moore argues that policy-based data-management systems are the next stage in the evolution of large-scale data management
A Europe-wide project to help scientists make better use of their data is entering its final year. Laurence Field looks at the lessons
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.
