Climate change and global warming are ever-present topics in the media, but how much can the predictioncs be trusted? David Robson investigates the trials of modelling such complex environmental and meteorlogical data.
Mass spectrometry software plays a major role in scientific detective work, writes Sian Harris.
Clare Sansom on the plethora of data management packages for the chemistry market.
Felix Grant summarises the data analysis software market.
Tom Wilkie reports from the Supercomputing Conference in Dresden.
John Murphy profiles Louis Gross, a mathematical ecologist who's studying the restoration of the Everglades.
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.
