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Primeur weekly 2017-02-20

Focus

HPC expert Genias Benelux to show its skillful expertise in brandnew website ...

Are billion Euro Flagships the right way to finance innovative areas like graphene, human brain research and quantum computing? ...

Exascale supercomputing

Advanced fusion code led by PPPL selected to participate in Early Science Programmes on three new DOE Office of Science pre-exascale supercomputers ...

Focus on Europe

From robotics to particle physics: Data analytics gets the spotlight in Distinguished Talk series at ISC 2017 ...

A new spin on electronics ...

Data mining tools for personalized cancer treatment ...

Why host HPC in Iceland to tackle Big Data for life sciences at Earlham Insititute ...

Biological experiments become transparent - anywhere, any time ...

Middleware

IBM delivers new platform to help clients address storage challenges at massive scale ...

Hewlett Packard Enterprise unveils most significant 3PAR Flash storage innovations to date ...

Hardware

Tokyo Institute of Technology partners with DDN on Tsubame3.0 to build forward-looking AI and Big Data computing infrastructure ...

Mellanox demonstrates four times improvement in crypto performance with Innova IPsec 40G Ethernet network adapter ...

Supermicro launches BigTwin - the industry's highest performing Twin multi-node system supporting the full range of CPUs, maximum memory and all-flash NVMe ...

Applications

Researchers catch extreme waves with higher-resolution modelling ...

Researchers are creating software to 'clean' large datasets, making it easier for scientists and the public to use Big Data ...

Designing new materials from 'small' data ...

Success by deception ...

DNA computer brings 'intelligent drugs' a step closer ...

'Lossless' metamaterial could boost efficiency of lasers and other light-based devices ...

Perimeter Institute researchers apply machine learning to condensed matter physics ...

When treating brain aneurysms, two isn't always better than one ...

Real-time MRI analysis powered by supercomputers ...

Analyzing data for transportation systems using TACC's Rustler, XSEDE ECSS support ...

NCSA facilitates performance comparisons with China's nr. 1 supercomputer ...

IBM delivers Watson for cyber security to power cognitive security operations centres ...

The Cloud

Optimizing data centre placement and network design to strengthen Cloud computing ...

Dutch start-up solution impacts data centres ...

OpenFog Consortium releases landmark reference architecture for Fog computing ...

IBM brings machine learning to the private Cloud ...

IBM accelerates hybrid Cloud adoption by enabling channel partners to offer VMware solutions ...

Oracle launches Cloud service to help organisations integrate disparate data and drive real-time analytics ...

Perimeter Institute researchers apply machine learning to condensed matter physics

Roger Melko, Perimeter Institute and the University of Waterloo. 13 Feb 2017 Waterloo - A machine learning algorithm designed to teach computers how to recognize photos, speech patterns, and hand-written digits has now been applied to a vastly different set of data: identifying phase transitions between states of matter.

This new research, published in Nature Physics by two Perimeter Institute researchers, was built on a simple question: could industry-standard machine learning algorithms help fuel physics research? To find out, former Perimeter Institute postdoctoral fellow Juan Cassasquilla and Roger Melko, an Associate Faculty member at Perimeter and Associate Professor at the University of Waterloo, repurposed Google's TensorFlow, an open-source software library for machine learning, and applied it to a physical system.

Roger Melko said they didn't know what to expect. "I thought it was a long shot", he admitted.

Using gigabytes of data representing different state configurations created using simulation software on supercomputers, Juan Carrasquilla and Roger Melko created a large collection of "images" to introduce into the machine learning algorithm - also known as a neural network. The result: the neural network distinguished phases of a simple magnet, and could distinguish an ordered ferromagnetic phase from a disordered high-temperature phase. It could even find the boundary - or phase transition - between phases, stated Juan Carrasquilla, who now works at quantum computing company D-Wave Systems.

"Once we saw that they worked, then we knew they were going to be useful for many related problems. All of a sudden, the sky’s the limit", Roger Melko stated. "Everyone like me who has access to massive amounts of data can try these standard neural networks."

This research, which was originally published as a preprint on the arXiv in May, 2016, shows that applying machine learning to condensed matter and statistical physics could open entirely new opportunities for research and, eventually, real-world application.

Source: Perimeter Institute

Back to Table of contents

Primeur weekly 2017-02-20

Focus

HPC expert Genias Benelux to show its skillful expertise in brandnew website ...

Are billion Euro Flagships the right way to finance innovative areas like graphene, human brain research and quantum computing? ...

Exascale supercomputing

Advanced fusion code led by PPPL selected to participate in Early Science Programmes on three new DOE Office of Science pre-exascale supercomputers ...

Focus on Europe

From robotics to particle physics: Data analytics gets the spotlight in Distinguished Talk series at ISC 2017 ...

A new spin on electronics ...

Data mining tools for personalized cancer treatment ...

Why host HPC in Iceland to tackle Big Data for life sciences at Earlham Insititute ...

Biological experiments become transparent - anywhere, any time ...

Middleware

IBM delivers new platform to help clients address storage challenges at massive scale ...

Hewlett Packard Enterprise unveils most significant 3PAR Flash storage innovations to date ...

Hardware

Tokyo Institute of Technology partners with DDN on Tsubame3.0 to build forward-looking AI and Big Data computing infrastructure ...

Mellanox demonstrates four times improvement in crypto performance with Innova IPsec 40G Ethernet network adapter ...

Supermicro launches BigTwin - the industry's highest performing Twin multi-node system supporting the full range of CPUs, maximum memory and all-flash NVMe ...

Applications

Researchers catch extreme waves with higher-resolution modelling ...

Researchers are creating software to 'clean' large datasets, making it easier for scientists and the public to use Big Data ...

Designing new materials from 'small' data ...

Success by deception ...

DNA computer brings 'intelligent drugs' a step closer ...

'Lossless' metamaterial could boost efficiency of lasers and other light-based devices ...

Perimeter Institute researchers apply machine learning to condensed matter physics ...

When treating brain aneurysms, two isn't always better than one ...

Real-time MRI analysis powered by supercomputers ...

Analyzing data for transportation systems using TACC's Rustler, XSEDE ECSS support ...

NCSA facilitates performance comparisons with China's nr. 1 supercomputer ...

IBM delivers Watson for cyber security to power cognitive security operations centres ...

The Cloud

Optimizing data centre placement and network design to strengthen Cloud computing ...

Dutch start-up solution impacts data centres ...

OpenFog Consortium releases landmark reference architecture for Fog computing ...

IBM brings machine learning to the private Cloud ...

IBM accelerates hybrid Cloud adoption by enabling channel partners to offer VMware solutions ...

Oracle launches Cloud service to help organisations integrate disparate data and drive real-time analytics ...