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Grammatikopoulos simulated two palladium nanoparticles colliding at different temperatures. The hotter the temperature, the more homogenous the resulting product, and the further the atoms in the particle crystallize.

Simulating the Invisible

July 29, 2014 2:07 pm | by Poncie Rutsch, Okinawa Institute of Science and Technology Graduate University (OIST) | News | Comments

Panagiotis Grammatikopoulos, in the Okinawa Institute of Science and Technology Graduate University (OIST) Nanoparticles by Design Unit, simulates the interactions of particles that are too small to see, and too complicated to visualize. In order to study the particles’ behavior, he uses a technique called molecular dynamics. This means that every trillionth of a second, he calculates the location of each individual atom in the particle...

Physicists Unlock Nature of High-Temperature Superconductivity

July 29, 2014 2:02 pm | by Jeanne Galatzer-Levy, University of Illinois at Chicago | News | Comments

Physicists have identified the “quantum glue” that underlies a promising type of...

Mutations from Venus, Mutations from Mars: A Sex-difference Approach to Harmful Mutation

July 28, 2014 5:36 pm | by Weizmann Institute of Science | News | Comments

Some 15 percent of adults suffer from fertility problems, many of these due to genetic factors....

Collecting Just the Right Data: When you can’t collect all you need, new algorithm tells you which to target

July 28, 2014 2:06 pm | by Larry Hardesty, MIT | News | Comments

Much artificial-intelligence research addresses the problem of making predictions based on large...

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The automatic placement of the albums by the algorithm was in agreement with the chronological order of the recording of each Beatles albums.

AI Reveals The Beatles’ Dramatic Musical Transformation

July 28, 2014 12:29 pm | by Lawrence Technological University | News | Comments

Music fans and critics know that the music of the Beatles underwent a dramatic transformation in just a few years. But, until now, there hasn’t been a scientific way to measure the progression. Computer scientists at Lawrence Technological University have developed an artificial intelligence algorithm that can analyze and compare musical styles, enabling research into their musical progression.

Dr Grimes derived equations describing how string bending, vibrato and whammy bars change the pitch of a note. He found that the properties of the strings had a big effect on the change in pitch – in particular the Young's modulus. Courtesy of Feliciano G

The Physics of Lead Guitar Playing

July 23, 2014 6:36 pm | by University of Oxford | News | Comments

String bends, tapping, vibrato and whammy bars are all techniques that add to the distinctiveness of a lead guitarist's sound, whether it's Clapton, Hendrix, or BB King. Now, guitarist and physicist Dr. David Robert Grimes has described the physics underlying these techniques.

Birdsongs Automatically Decoded by Computer Scientists

July 21, 2014 2:25 pm | by Queen Mary University of London | News | Comments

Scientists from Queen Mary University of London have found a successful way of identifying bird sounds from large audio collections, which could be useful for expert and amateur bird-watchers alike. The analysis used recordings of individual birds and of dawn choruses to identify characteristics of bird sounds. It took advantage of large datasets of sound recordings provided by the British Library Sound Archive, and online sources.


Math Can Make the Internet 5 to 10 Times Faster

July 18, 2014 3:52 pm | by Aalborg University | News | Comments

Mathematical equations can make Internet communication via computer, mobile phone or satellite many times faster and more secure than today. Results with software developed by researchers from Aalborg University in collaboration with the Massachusetts Institute of Technology (MIT) and California Institute of Technology (Caltech) are attracting attention in the international technology media.

On the Trail of Paradigm-Shifting Methods for Solving Mathematical Models

July 15, 2014 10:11 am | by Hengguang Li | Blogs | Comments

How using CPU/GPU parallel computing is the next logical step - My work in computational mathematics is focused on developing new, paradigm-shifting ideas in numerical methods for solving mathematical models in various fields. This includes the Schrödinger equation in quantum mechanics, the elasticity model in mechanical engineering, the Navier-Stokes equation in fluid mechanics, Maxwell’s equations in electromagnetism...

Mathematica 10

July 9, 2014 4:41 pm | Wolfram Research, Inc. | Product Releases | Comments

With over 700 new functions — the single biggest jump in new functionality in the software's history — Mathematica 10 is the first version of Mathematica based on the complete Wolfram Language. Integration with the Wolfram Cloud and access to the expanded Wolfram Knowledgebase open up new possibilities for intelligent computation and deployment.

Statistical Analysis Could Improve Understanding and Treatment of Different Brain Tumors

July 7, 2014 10:21 am | by Qlucore | News | Comments

Discovering a brain tumor is a very serious issue, but it is not the end of the story. There are many different types of brain tumor with different survival rates and different methods for treatment. However, today, many brain tumors are difficult to clearly diagnose, leading to poor prognoses for patients.

'Deep Learning' Makes Search for Exotic Particles Easier

July 2, 2014 4:10 pm | by UC Irvine | News | Comments

Fully automated “deep learning” by computers greatly improves the odds of discovering particles such as the Higgs boson, beating even veteran physicists’ abilities.                         


Formula Calculates Thickness of Bombproof Concrete

July 2, 2014 9:47 am | by Fraunhofer | News | Comments

A new type of steel-reinforced concrete protects buildings better from bomb attacks. Researchers have developed a formula to quickly calculate the concrete’s required thickness. The material will be used in the One World Trade Center at Ground Zero.

To be able to use these huge amounts of data, we have to understand them and before that we need to categorize them in an effective, fast and automatic manner.

A Simple Solution for Big Data

June 27, 2014 11:19 am | by SISSA | News | Comments

To be able to use huge amounts of data, we have to understand them and before that we need to categorize them in an effective, fast and automatic manner. Two researchers have devised a type of Cluster Analysis, the ability to group data sets according to their "similarity," based on simple and powerful principles, which proved to be very efficient and capable of solving some of the most typical problems encountered in this type of analysis.

Mechanical engineers at the Babol University of Technology in Mazandaran, Iran, have turned to nature to devise an algorithm based on the survival trials faced by salmon swimming upstream to the spawning grounds to help them fish out the optimal solution

The Great Salmon Run Algorithm

June 25, 2014 10:42 am | by Inderscience Publishers | News | Comments

Mechanical engineers at the Babol University of Technology in Mazandaran, Iran, have turned to nature to devise an algorithm based on the survival trials faced by salmon swimming upstream to the spawning grounds to help them fish out the optimal solution to a given problem.

Manipulating minute areas of gain and loss within individual lasers (shown as peaks and valleys in the image), researchers were able to create paradoxical interactions between two nearby lasers. Courtesy of Vienna University of Technology

Mathematical Anomalies: Strange Physics Turns off Laser

June 18, 2014 12:53 pm | by Princeton University, Engineering School | News | Comments

Inspired by anomalies that arise in certain mathematical equations, researchers have demonstrated a laser system that paradoxically turns off when more power is added rather than becoming continuously brighter. The finding could lead to new ways to manipulate the interaction of electronics and light, an important tool in modern communications networks and high-speed information processing.

Artistic rendering of Leptoceratops, a likely relative of Serendipaceratops arthurcclarkei. Courtesy of Peter Trusler

Of Dinosaurs and Mathematics: Providing Solid Evidence for Paleontological Theory

June 13, 2014 3:58 pm | by Kathleen Estes, Okinawa Institute of Science and Technology | News | Comments

Dinosaurs and mathematics do not seem like an obvious pair, but for Robert Sinclair and his Mathematical Biology Unit, they are a logical match. Sinclair was part of a team that recently published a paper reexamining the classification of a dinosaur bone found. Using his expertise in mathematics, Sinclair was able to help reclassify a single arm bone as belonging to a dinosaur family previously believed not to have existed ...

A new computation method to examine planets orbiting other stars suggests the Milky Way galaxy may house 100 million other places that could support complex life. Courtesy of Planetary Habitability Laboratory, University of Puerto Rico at Arecibo

Milky Way may Bear 100 Million Life-giving Planets

June 11, 2014 1:48 pm | by Blaine Friedlander, Cornell University | News | Comments

There are some 100 million other places in the Milky Way galaxy that could support complex life, report a group of university astronomers in the journal Challenges. They have developed a new computation method to examine data from planets orbiting other stars in the universe. Their study provides the first quantitative estimate of the number of worlds in our galaxy that could harbor life above the microbial level.

In the field of Artificial Intelligence, there is no more iconic and controversial milestone than the Turing Test, when a computer convinces a sufficient number of interrogators into believing that it is not a machine but rather is a human.

Can Machines Think? Turing Test Success a Milestone in Computing History

June 9, 2014 9:07 am | by University of Reading | News | Comments

An historic milestone in artificial intelligence set by Alan Turing — the father of modern computer science — has been achieved. The 65 year-old iconic Turing Test was passed for the very first time by supercomputer Eugene Goostman during Turing Test 2014 held at the Royal Society in London on June 7, 2014, and organized by the University of Reading.

A Turing machine built from legos. Courtesy of Projet Rubens, ENS Lyon

Basic Logic Research Crucial for Computer, Software Engineering

June 3, 2014 3:27 pm | by Vienna University of Technology | News | Comments

All men are mortal. Socrates is a man. Therefore, Socrates is mortal. Logical arguments like this one have been studied since antiquity. In the last few decades, however, logic research has changed considerably: the computer sciences were born. The success of informatics would have been impossible without the groundwork provided by logicians — and, in turn, computer sciences keep posing new interesting questions

Four views of box on a bookshelf, with a printed camouflage pattern wrapped around it. Note how, from some perspectives, the spine of a book on the shelf appears to fork. Courtesy of the researchers

Custom Camouflage: Patterns from MIT Algorithms Could Hide Public Eyesores

May 23, 2014 10:32 am | by MIT | News | Comments

If a bulky electrical box has to be placed at the edge of a public park, what’s the best way to conceal it so that it won’t detract from its surroundings? How about an air-conditioning condenser beside a historical building, or a portable toilet along a scenic trail?

NAG C Library Mark 24

NAG C Library Mark 24

May 16, 2014 4:14 pm | Nag Ltd | Product Releases | Comments

Now at Mark 24, the NAG C Library is a collection of hundreds of user-callable mathematical and statistical functions for C and C++ programmers. It contains over 1,500 powerful algorithms that are designed to be reliable, flexible and ready-for-use from a wide range of operating systems, languages, environments and packages

Researchers have solved one aspect of the discrete logarithm problem. This is considered to be one of the 'holy grails' of algorithmic number theory, on which the security of many cryptographic systems used today is based.

New Algorithm Shakes Up Cryptography

May 15, 2014 4:38 pm | by CNRS (Délégation Paris Michel-Ange) | News | Comments

Researchers have solved one aspect of the discrete logarithm problem. This is considered to be one of the 'holy grails' of algorithmic number theory, on which the security of many cryptographic systems used today is based. The team has devised a new algorithm that calls into question the security of one variant of this problem. The result discredits several cryptographic systems ...

Nautilus shell spirals are among the many forms in nature that can be related to the golden ratio, the most famous algebraic number of them all. Mathematicians have discovered a new treasure trove of algebraic numbers and formulas to access them.

Mathematicians Trace Source of Rogers-Ramanujan Identities, Find Algebraic Gold

May 7, 2014 4:15 pm | by Carol Clark, Emory University | News | Comments

Mathematicians have found a framework for the celebrated Rogers-Ramanujan identities and their arithmetic properties, solving another long-standing mystery stemming from the work of Indian math genius Srinivasa Ramanujan. The findings, by mathematicians at Emory University and the University of Queensland, yield a treasure trove of algebraic numbers and formulas to access them.

Characterizing Graphene’s Shape using Discrete Differential Geometry

Characterizing Graphene’s Shape using Discrete Differential Geometry

May 5, 2014 12:19 pm | by University of Arkansas | News | Comments

Scientists studying graphene’s properties are using a new mathematical framework to make extremely accurate characterizations of the two-dimensional material’s shape. Graphene, discovered in 2004, is a one-atom-thick sheet of graphite. The mathematical framework being used is known as discrete differential geometry, which is the geometry of two-dimensional interlaced structures called meshes.

Intel is creating Intel Parallel Computing Centers (IPCCs) at leading institutions in HPC research to promote the modernization of essential application codes to increase their parallelism and scalability.

Intel Selects Georgia Tech as Site for Next Parallel Computing Center

April 22, 2014 12:25 pm | by Intel | News | Comments

As modern computer systems become more powerful, utilizing as many as millions of processor cores in parallel, Intel is looking for new ways to efficiently use these high performance computing (HPC) systems to accelerate scientific discovery. As part of this effort, Intel has selected Georgia Tech as the site of one of its Parallel Computing Centers.

Vladimir Voevodin, Deputy Director of the Research Computing Center, Moscow State University

Vladimir Voevodin

April 17, 2014 9:31 am | Biographies

Vladimir Voevodin is Deputy Director of the Research Computing Center at Lomonosov Moscow State University (1998-present) where he is responsible for supercomputing facilities and activities of RCC MSU. He is also a professor at the Computational Mathematics and Cybernetics Faculty of MSU (2005-present) and a professor at the Mechanic-mathematical Faculty of South-Ural State University (2004-present).

Oleksiy Koshulko, Senior Research Associate, Glushkov Institute of Cybernetics NAS

Dr. Oleksiy Koshulko

April 17, 2014 8:41 am | Biographies

Dr. Koshulko is a senior research associate at Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine. He holds a Ph.D. in mathematical modeling and numerical methods. His professional interests include parallel processing, machine learning, time series analysis and forecasting. Dr. Koshulko serves as program committee member of several international HPC conferences and is a chair of the HPC-UA conference in Kyiv.

Horst Gietl, Executive Consultant, Prometeus

Horst Gietl

April 16, 2014 4:15 pm | Biographies

Horst Gietl studied Mathematics and Information Technology at the Technical University in Munich and made his PhD at the Faculty of Mathematics. He worked at the Leibniz Computing Center in Munich, being responsible for a project of the German Research Organization with the title: „Vectorization of numerical applications to get highest performance out of a vector processor.” After that, he joined Siemens, becoming a manager for the vector processor applications/support group and working with Fujitsu’s vector processors.

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