Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Gemma Church investigates how simulation and modelling are helping expedite the development of cutting-edge medical devices
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Correct storage and use of data is the key to keeping data ‘current’ and relevant in modern laboratories, writes Sophia Ktori
Robert Roe interviews Mark Parsons on the strategy for HPC in the UK
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Robert Roe looks at the development of deep learning and its impact on scientific applications
As cloud technology matures, the options for HPC users continue to expand, writes Robert Roe
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.
