Machine learning, in which computers learn new skills by looking for patterns in training data, is the basis of most recent advances in artificial intelligence, from voice-recognition systems to self-parking cars. It’s also the technique that autonomous robots typically use to build models of their environments. That type of model-building gets complicated, however, in cases in which clusters of robots work as teams.
Physicists are using equations to reveal the hidden complexities of the human body. From the...
Inspired by anomalies that arise in certain mathematical equations, researchers have...
Printable robots — those that can be assembled from parts produced by 3-D printers — have long...
On the eve of the 2014 FIFA World Cup, researchers investigated the productivity of top goal scorers in international football. The RMIT University team applied advanced econometric techniques to a sample of 66 top goal scorers in the Union of European Football Associations (UEFA) Champions League between 1991 and 2011.
Penguin Computing, experts in high performance, enterprise and cloud computing solutions, has announced the immediate availability of MATLAB Distributed Computing Server on its HPC Cloud, POD. This solution combines POD’s ease-of-use and high performance computing capabilities in the cloud with MATLAB scale-up capability to solve more demanding and complex problems.
Dr. Collins is the director of the Advanced Biomedical Computing Center at the Frederick National Laboratory for Cancer Research. Dr. Collins’ research focuses on biomedical computing applications pertaining to cancer. His research group develops and applies high-performance algorithms to solve data-intensive computational biology problems in the areas of genomic analysis, pattern recognition in proteomics and imaging, molecular modeling, and systems biology.
Chris Catherasoo has broad expertise in state-of-the-art supercomputers, high-end visualization systems, high-performance storage and networking, including hardware, software, scheduling and operations. Technical expertise in numerical methods and algorithm development, and in software design and development, including programming (Fortran and C), code testing and validation, configuration control and documentation.
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.
Black holes may be dark, but the areas around them definitely are not. These dense, spinning behemoths twist up gas and matter just outside their event horizon, and generate heat and energy that gets radiated, in part, as light. And when black holes merge, they produce a bright intergalactic burst that may act as a beacon for their collision.
Each audio file has its own history. Editing processes such as cutting and compressing leave their own marks, and this is what researchers use to detect manipulated recordings or plagiarized passages of music with the help of special software.
The fast Fourier transform, one of the most important algorithms of the 20th century, revolutionized signal processing. The algorithm allowed computers to quickly perform Fourier transforms — fundamental operations that separate signals into their individual frequencies — leading to developments in audio and video engineering and digital data compression.
Among the most common tools in electrical engineering and computer science are rectangular grids of numbers known as matrices. The numbers in a matrix can represent data, and they can also represent mathematical equations.
Jack Dongarra of the University of Tennessee will receive the ACM-IEEE Computer Society Ken Kennedy Award for his leadership in designing and promoting standards for mathematical software used to solve numerical problems common to high performance computing (HPC). His work has led to the development of major software libraries of algorithms and methods that boost performance and portability in HPC environments
David Brown has been the director of the Computational Research Division at Berkeley Lab since August 2011. An applied mathematician by training, his research expertise and interests lie in the development and analysis of algorithms for the solution of PDEs. His research has focused on adaptive composite overlapping grid techniques for solving PDEs in complex moving geometries and in the analysis of difference approximations for PDEs.
The Simpleware 6.0 image visualization, analysis and model generation software suite features a ribbon user interface and other features designed to accelerate the process of segmenting and meshing 3-D image data. These include boundary layers and mesh clipping for the creation of custom CFD inlets/outlets, as well as curved quadratic elements and a tet-to-hex converter.
The double delta wing is a simplified configuration used for studying aircraft aerodynamics. It is composed of a highly-swept delta wing connected in front of the main delta wing with a smaller sweep, reflecting the combination of a leading edge extension and the swept main wing. The aerodynamic performance of such wings, which includes the behavior of the leeside vortical flows at moderate and...
Tom Wong, a graduate student in physics and David Meyer, professor of mathematics at the University of California, San Diego, have proposed a new algorithm for quantum computing, that will speed a particular type of problem. But swifter calculations would come at the cost of greater physical resources devoted to precise timekeeping, their analysis has determined.
New, fast and accurate algorithm from the Institute of Physical Chemistry of the Polish Academy of Sciences in Warsaw, based on the mathematical formalism used to model processes accompanying interaction of light with gas planet atmospheres, is a major step towards better understanding of physical and chemical properties of materials’ surfaces studied under laboratory conditions.
Philadelphia, PA— The answer is yes, according to a paper in the SIAM Journal on Discrete Mathematics. In a paper published in the journal last month, authors Anthony Bonato, Dieter Mitsche, and Pawel Pralat describe a mathematical model to disrupt flow of information in a complex real-world network, such as a terrorist organization, using minimal resources.
The time may be fast approaching for researchers to take better advantage of the vast amount of valuable patient information available from U.S. electronic health records. Lian Duan, an NJIT computer scientist with an expertise in data mining, has done just that with the recent publication of "Adverse Drug Effect Detection," IEEE Journal of Biomedical and Health Informatics (March, 2013).
Helped by HPC resources at the National Center for Supercomputing Applications, the Continuous Casting Consortium at the University of Illinois has developed comprehensive numerical models of the continuous casting of steel, including several ground-breaking numerical methods, to solve practical problems of interest to the steel industry.
If you've ever registered for online access to a website, it's likely you were required as part of the process to correctly read a group of distorted letters and numbers on the screen. But there's a second type of captcha, and it may pose more of a security weakness
Faster, more secure logins for multimedia sites might be possible thanks to a new approach to Website and database security. Boolean logins would allow thousands if not millions of users to more quickly access the content to which they are entitled, such as music, video and images
Origin 8.5.1 features two data analysis Gadgets and a versatile graph reconstruction tool. These are a Cluster Manipulation Gadget and Quick Peaks Gadget
Andrew Lang once said disparagingly of someone: “He uses statistics as a drunken man uses lampposts — for support rather than for illumination.” This whimsical quote illustrates the goal of statistics, which is to provide insight for further action.
SYSTAT has long been a staple of the linear models crowd and now gets more powerful with every version. The present version includes Exact tests, Monte Carlo simulations, and the ever popular (and becoming more so every day) quality analysis section
NAG Library for SMP & Multicore is a commercial numerical algorithm library developed to harness the huge performance gains from the shared memory parallelism of SMP and multicore processors. Many of the algorithms, or routines, in the Library are specifically tuned to run on multi-socket and multicore systems
COMSOL Multiphysics version 4.0 features a user interface that makes the power of multiphysics simulation available to a wider audience of scientists and engineers. It is available with LiveLink options that integrate the program into the mainstream product design workflow
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