Keeping track of agricultural data presents special problems for informatics systems, as Sophia Ktori finds out
Liquid cooling can take many forms but expertise from embedded systems can also point the way to a green future for HPC, as Tom Wilkie discovers
The current buzz in the world of high-performance
computing is exascale systems. The next major milestone
is HPC systems that will be capable of executing an exaflop
- a billion billion floating point operations per second,
writes John Barr
At the Paperless Lab Academy (PLA), which took place in
Amsterdam on 13 and 14 May, the importance of managing
change and the limits to data sharing were important
topics. Tom Wilkie reports
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.
