Articles about 'supercomputer'

Dawn is now being deployed for use by scientists within Cambridge and across the UK to support ambitious goals in clean energy, personalised medicine and climate.

The Cambridge Open Zettascale Lab is hosting Dawn, the UK’s fastest artificial intelligence (AI) supercomputer, which has been built by the University of Cambridge Research Computing Services, Intel and Dell Technologies.

Scientists have made a breakthrough in understanding and overcoming the challenges associated with nickel-rich materials used in lithium-ion batteries.

An international group of scientists led by the University of Cambridge has finished designing the ‘brain’ of the Square Kilometre Array (SKA), the world’s largest radio telescope. When complete, the SKA will enable astronomers to monitor the sky in unprecedented detail and survey the entire sky much faster than any system currently in existence.

The UK’s fastest academic supercomputer, based at the University of Cambridge, will be made available to artificial intelligence (AI) technology companies from across the UK, in support of the government’s industrial strategy. 

The University of Cambridge is launching a new research centre, thanks to a £10 million grant from the Leverhulme Trust, to explore the opportunities and challenges to humanity from the development of artificial intelligence. 

The ‘world’s largest IT project’ — a system with the power of one hundred million home computers — may help to unravel many of the mysteries of our universe: how it began, how it developed and whether humanity is alone in the cosmos.

Astronomers have been able to peer back to the young Universe to determine how quasars – powered by supermassive black holes with the mass of a billion suns – form and shape the evolution of galaxies.

Cambridge’s COSMOS supercomputer, the largest shared-memory computer in Europe, has been named by computer giant Intel as one of its Parallel Computing Centres, building on a long-standing collaboration between Intel and the University of Cambridge.

A super energy-efficient high-performance computer, with a performance equivalent to 4,000 desktop machines running at once, will enable researchers to handle the Big Data challenges of the future - not least the design of a system to support the world's largest telescope.