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Accelerating genomic research with high-performance computing

#artificialintelligence

The vast amount of information encoded in an individual's DNA tells great tales of one's health and disease conditions. When the first human genome was sequenced, the project that began in 1990 took over 10 years and cost around $2.7 billion. According to Andrew Underwood, CTO, HPC & Artificial Intelligence, Dell EMC, Australia and New Zealand, data intensive computing is fast becoming a dominant approach. Especially in R&D, it is a rapidly growing field of research built on data that is generated from scientific instruments, people, machines and IoT devices. Data comes in high velocities and in large volumes – requiring scientists to harness the power of high performance computing to analyze data faster for timely insights in their field of research.


Your smartphone could help power future cancer cures

Mashable

In the field of potentially life-saving cancer research, data is more than just a buzzy term deployed by marketers -- it's a fundamental part of the search for answers.


How data helps medical professionals implement patient personalisation

Mashable

In recent years, the scientific community has come to think about cancer -- and cancer treatment -- differently.


Australia's NCI gets supercomputing systems from IBM for AI and analytics

ZDNet

The National Computational Infrastructure (NCI), Australia's national research computing service, has purchased four IBM Power System servers for high performance computing in a bid to advance its research efforts through artificial intelligence, deep learning, high performance data analytics, and other compute-heavy workloads. With 35,000 researchers in total on its books, the NCI operates as a formal collaboration of the Australian National University, the Commonwealth Scientific and Industrial Research Organisation (CSIRO), the Australian Bureau of Meteorology (BOM), and Geoscience Australia, as well as through partnerships with a number of research-intensive universities that are supported by the Australian Research Council. Turnbull's agile struggle is all glitz and no grunt Australian government to continue focus on digital delivery in 2017 Australian ISPs to block piracy sites from the pocket of content owners TPG outbids MyRepublic to snag Singapore's fourth telco license Turnbull's agile struggle is all glitz and no grunt Friday's announcement follows a development process NCI undertook with the IBM Australia Development Laboratory and its Linux and Open Technology team. According to NCI, the development lab provides OpenPower development capability and locally develops IBM's Power System firmware, with the decision to purchase the new servers strongly influenced by its direct access to the local IBM Power development team, NCI said. "In order to tackle the challenges of today's world -- from cancer to climate change -- organisations need accelerated computing that can drive big data workloads," said Mike Schulze, director for IBM Australia Development Laboratory. "NCI plays a critical role in supporting some of Australia's largest research projects, and this new system and architecture will be key for it to achieve higher levels of performance and greater computing efficiency."


University of Sydney unveils AU$2.3m Artemis 3 AI research supercomputer

ZDNet

The University of Sydney (USyd) has upgraded its Artemis supercomputer with new systems expected to power research into the development of artificial intelligence (AI) and machine learning. For a cost of AU$2.3 million, Dell EMC has provided the university with Artemis 3, replacing the previous high performance computing (HPC) cluster that was initially installed by Dell back in 2015. Artemis 2 was upgraded in 2016 -- built on Dell EMC PowerEdge without the computational power of GPUs -- which USyd director of strategic ventures Dr Jeremy Hammond said was consumed by the university and its collaborators within a few months. "It really served as the launch pad for how we tackled the expansion," Hammond told journalists during a briefing. "We've seen already some really exciting papers come out of the work to-date, we've seen work on the evolution of bees, modelling of traffic flows in cities and how to optimise urban environment, analysis of viruses ... these are the things that get our researchers up in the morning."