Felix Grant on the development of robotics via maths and stats packages
Paul Schreier examines how CFD software suppliers are customising their products to meet the needs of specific industries - in this case, for turbomachinery engineers
Paul Schreier visits CERN to learn about the computing resources needed for the world's largest ever scientific experiment
Gemma Church assesses the HPC landscape in central and eastern Europe
Laurent Bernardin, chief scientist and vice president of R&D, Maplesoft
Greg Blackman on the versatility of LIMS, ELNs and other data management solutions in the pharmaceutical industry
Raghu Machiraju, Associate Professor of Computer Science and Engineering, Ohio State University
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.
