Tom Wilkie explores how laboratory data management applications are integrating more and more with software outside the lab, including enterprise resource planning software, thereby feeding into overall business management
Separating the software from the hardware components can boost the speed and flexibility of instrumentation, discovers Sian Harris
David Robson investigates the explosion in parallel computing, as software enables scientists to harness power more easily
Felix Grant and Ray Girvan on the wealth of applications for image analysis software
Peter Gumbsch, professor at the university of Karlsruhe and head of Fraunhofer Institute for Mechanics of Materials
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.
