Statistical testing need no longer be difficult or time-consuming, according to Felix Grant
In the drive for efficiency, simulation is the key to powertrain design, as Warren Clark discovers
A Europe-wide project to help scientists make better use of their data is entering its final year. Laurence Field looks at the lessons
Tom Wilkie reports on some surprising suggestions about the future shape of high-performance computing
How are high-performance interconnects managing to moving more data, faster, and over longer distances? Tom Wilkie reports
Keeping the environment clean requires hundreds of thousands of tests and sophisticated data handling, as Sophia Ktori discovers
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.
