On 22 and 23 January, CERN openlab held its annual technical workshop covering topics such as heterogeneous and quantum computing.
Forschungszentrum Jülich and Google have announced a partnership to accelerate research in the field of quantum computing. The partnership will include joint research and training in the fields of quantum technologies and quantum algorithms and the mutual use of quantum hardware.
Argonne National Laboratory, future home of the Aurora exascale system, will hold its first Quantum Computing Workshop from July 25-27, 2018, at the lab's Theory and Computing Sciences (TCS) Conference Center.
Participants will learn about the latest research and technologies in quantum computing. The workshop has four goals:
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.
