Andrew Jones explains why, 
when it comes to high-performance computing, science/dollar is not 
the same as Flops/dollar
Chris Gottbrath, principal product manager at Rogue Wave Software, presents a case study on debugging with TotalView on Beacon
Simon Krige of Cresset BioMolecular Discovery discusses how GPUs are speeding up the screening and lead optimisation process
Chairman of the Copenhagen Paperless Lab Forum, Peter Boogaard, shares his perspective
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.
