Sophia Ktori discusses an autonomous AI platform for detecting diabetic retinopathy with Michael Abramoff, founder and executive chairman of IDx
Sophia Ktori discusses the convergence of clinical AI and wearable technology with physIQ chairman and CEO Gary Conkright
Cloud research tools provide a platform for new avenues of scientific research by providing fast access to bare-metal resources.
Increasingly power-hungry and high-density processors are driving the growth of liquid and immersion cooling technology
Tate Cantrell, CTO, Verne Global, comments on the cost of the AI computing revolution
Robert Roe talks to Antonio Peña EPEEC, project coordinator and senior researcher for the Barcelona Supercomputing Center about progress on a European programming framework for HPC
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.
