Articles tagged with Computational Science
A computer program can now accurately retrieve product images based on hand-drawn sketches, revolutionizing online shopping. This technology enables users to sketch their desired products and instantly find them online.
Researchers at University of Oklahoma are developing a higher-resolution model that uses Stampede supercomputer to predict severe hail storms with greater accuracy. The goal is to provide 2-hour warnings for storms like the May 1995 Fort Worth Mayfest storm, which caused over $2 billion in damage.
Researchers from MIPT and MSU created a computer model predicting agrochemical activity using machine learning and Kohonen self-organizing maps. The model showed high predictive power, accurately classifying molecules into pesticides or plant growth regulators with 87% accuracy.
Terrence Sejnowski receives the Swartz Prize for his significant cumulative contribution to theoretical models and computational methods in neuroscience. He has made major research discoveries, including learning models for birdsong and neuroeconomics.
Scientists at the University of Missouri have developed a free online genetic research tool called RNAMiner. The platform allows users to upload genomic data and analyze it through multiple steps, providing results within hours rather than days or months.
A partnership between a cognitive scientist and an environmental scientist has enhanced high school students' learning of basic spatial reasoning, as well as solving complex problems involving climate change and other STEM subjects. The program uses computer-based layered maps to facilitate visualization and reasoning.
Scientists developed a smart keyboard that senses typing patterns to distinguish individual users, providing an additional layer of security for computer systems. The device harnesses energy from typing to power itself or other devices, while its surface coating repels dirt and grime.
A new tool called KnIT has shown promise in mining all public medical literature and generating hypotheses that can lead to breakthroughs in cancer research. The tool was tested on the protein p53, which is a critical tumor suppressor protein, and accurately predicted the existence of proteins that modify it.
Computer scientists at MIT and Israel's Technion have discovered an unexpected source of information about the world's languages: native speakers' writing habits in English. The system analyzed over 1,000 essays to predict typological features of 14 languages, achieving 72% accuracy on average.
A team of scientists has developed a model that uses open data and network science to evaluate the logistics of disaster relief. The proposed tool can quantify the reachability of critical loci within a geographic area and assess the effects of infrastructure destruction scenarios.
NERSC recognized four award recipients for their exceptional impact on scientific understanding and society. Victor Ovchinnikov was awarded an Early Career Award for his work on computational modeling of conformational transitions in large biological molecules.
A new wireless surveillance system, TernCam, reduces battery life without compromising image quality. The system enables real-time visual data collection and has successfully transmitted signals in severe weather conditions.
The Penn State-led team aims to improve existing hydrological predictions and study the coupling of water with its environment. The goal is to create a strategic tool to assist in decision-making for extreme weather events.
A study by Georgia Tech researchers found that people in the US and South Korea prefer wearing e-textiles on their wrists and forearms, with minimal acceptance for other locations. Cultural differences play a significant role in perceptions of wearable technology, with Americans focusing on ease of use and South Koreans prioritizing mo...
A new computational tool called ExpressionBlast enables searches based on experimental values, revealing links between diseases and treatments. Researchers used the tool to uncover clues about SIRT6, a potentially important drug target involved in immune response, metabolism, and gender-specific gene regulation.
Researchers at CU-Boulder demonstrated that brains use a pointer system similar to computers to understand novel situations. The brain's connections between the prefrontal cortex and basal ganglia play a key role in processing sentences with unfamiliar words.
Researchers at Disney Research built computer models by monitoring artists as they sketch human faces, capturing each artist's drawing style, strokes, and feature selection. The system successfully generated multiple distinct styles similar to hand-drawn sketches.
Scientists are facing a digital bottleneck in assembling genetic data, which is being produced at an unprecedented rate. Computing solutions are needed to address this issue, including clever algorithms and harnessing more computing power. The article highlights the need for innovative solutions to overcome this challenge.
Researchers used a computer model of integrin to explore its molecular machinery and interactions with the cell environment. The model suggests that integrins cluster together in response to external forces and recruit more integrins when subjected to higher forces.
The Planck observatory's first 15 months of data reveal that the universe is 100 million years older than previously thought, with more matter and less dark energy. Scientists used supercomputing at NERSC to create detailed maps of the relic radiation from the big bang.
Georgia Tech has received a $561,130 contract from DARPA to create an algorithmic framework for supercomputing systems that require less energy than traditional high-speed machines. The goal is to enable devices in the field to perform calculations previously requiring room-sized supercomputers.
Researchers connect 250 years of organic chemical knowledge into a giant computer network, optimizing syntheses of drug molecules and identifying suspicious chemical recipes. The Chematica system learns from experience and can test every possible synthesis, finding truly optimal ways to make desired chemicals.
Researchers developed an expert system to diagnose thyroid disease using computerized screening of medical data, achieving an accuracy rate of 93.5%, significantly improving detection rates.
Scientists at University of Warwick solve 40-year-old Fourier Transform Mass Spectrometry phasing problem, improving data quality for pharmaceuticals, healthcare, and environmental management. The breakthrough method doubles resolution and sensitivity at no extra cost.
The Society for Industrial and Applied Mathematics named 35 individuals as part of its 2012 Class of Fellows, recognizing their outstanding research in applied mathematics and computational science. The selected fellows are academics and professionals who have made significant contributions to the field.
Ziv Bar-Joseph, a Carnegie Mellon University professor, has received the Overton Prize for his outstanding contributions to computational biology. He has made significant breakthroughs in gene regulatory networks and their applications to cancer cells.
Researchers from Rice University and UCSD decipher part of mitoNEET's movements using laboratory experiments and computer modeling. They found that the protein can switch between conformations without unfolding, altering the shape of its critical pocket.
The IUPUI-launched Institute for Mathematical Modeling and Computational Science aims to train a new generation of researchers to identify and solve scientific issues. The institute focuses on areas such as drug delivery, pollution, and brain mapping, using mathematical modeling and computational science approaches.
Researchers at Georgia Tech, with support from DARPA and other organizations, are developing a suite of algorithms to identify insider threats in large datasets. The system, called ADAMS, will analyze email, text messages, and file transfers for unusual activity, providing analysts a short list of unexplained events to investigate.
The Texas Advanced Computing Center announces the deployment of Stampede, a world-class supercomputer with comprehensive computing and visualization capabilities, made possible by a $27.5 million NSF grant. The system will support over 1,000 projects in computational and data-driven science, enabling researchers to explore complex phen...
The eSiMon Dashboard allows researchers to monitor and analyze simulations in real-time, providing a user-friendly interface for collaboration and data visualization. Key features include web-based access, variable annotation, and publication-quality image and video generation.
New research provides urgently needed solutions to resolve the reproducibility crisis in computational science by creating a registry for computational results, open licenses for intellectual property framework, and technical communication methodologies. This enables wider availability of scientific knowledge and detects flawed science.
The Journal of Computational Science Education (JOCSE) promotes the use of computation in education, disseminating unique uses of computation in the classroom. The journal utilizes internet technology to allow for enhanced interactivity and provides an outlet for high-quality papers describing successful computational science instructi...
The 'M8' simulation, a magnitude 8.0 earthquake on the southern San Andreas Fault, shakes a larger area with greater detail than previously possible. The development of this simulation advances state-of-the-art in speed and efficiency for such calculations.
Researchers created a machine-learning model called DiaTM that learns vernacular terms for health problems and symptoms, improving medical website performance. The system achieves a 25% improvement in nDCG, a scientific term referring to the relevance of information retrieval.
The COGNITO project, led by the University of Bristol, aims to develop computer systems that can understand and predict human behavior and activity. By using on-body sensor networks and advanced computer vision algorithms, researchers hope to create systems that can assist people in skilled assembly and manipulation tasks.
Researchers at University of Warwick and University of Sheffield used metadynamics to simulate how a chicken eggshell protein binds to calcium carbonate particles, enabling efficient recycling and catalytic activity. The study provides new insights into controlling crystallization in nature.
A team of life scientists and computer researchers, led by Thomas Brutnell, is working on the iPlant project to develop a computational pipeline for processing ultra-high-throughput sequence datasets. The goal is to make it easier to analyze large datasets and predict plant responses to environmental changes.
Georgia Institute of Technology receives a five-year, $12 million Track 2 award to develop and deploy two heterogeneous HPC systems for various research projects. The project aims to demonstrate unprecedented performance on computational science applications while addressing energy efficiency challenges.
Researchers at RIT are using supercomputers to study the massive dark objects, simulating what cannot be seen directly. The grants and allocations will enhance their access to sophisticated computer power, staying at the forefront of scientific computation.
A new computer model reveals striking detail about sunspots, including their structure and dynamics. The simulations capture convective flow and energy movement that underlie sunspots, enabling scientists to better understand their role in solar output and climate patterns.
The Palomar Transient Factory (PTF) utilizes NERSC's tools to uncover relatively rare cosmic events like supernovae and gamma ray bursts, discovering over 40 in its commissioning phase. The survey combines automated analysis with high-end systems and networks, enabling rapid follow-up observations.
Scientists at the University of East Anglia have created lip-reading computers that can accurately identify different languages spoken by individuals. The technology uses statistical modelling of lip motions and was tested on a group of bilingual and trilingual speakers, achieving high accuracy rates across multiple languages.
Researchers are exploring petascale computing to model complex systems like severe storms, enabling better prediction and potentially saving lives. The technology will also facilitate the analysis of large datasets in fields such as high-energy physics.
The Department of Energy's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program has awarded 28 projects at Argonne National Laboratory with $400 million hours of computing time. These projects will focus on various fields including energy, biology, climate change, astrophysics, and more.
A team of Berkeley Lab researchers won a prestigious Gordon Bell Prize for their algorithm innovation in high-performance computing. They developed the Linearly Scaling 3D Fragment (LS3DF) method to efficiently simulate the behavior of nanostructures, achieving impressive performance and scalability.
The upgraded Oak Ridge National Laboratory supercomputer has achieved a sustained performance of over 1.3 petaflops, enabling researchers to simulate physical processes on an unprecedented scale. The new system will facilitate breakthroughs in climate modeling, renewable energy, and materials science.
The University of Tennessee at Knoxville has been awarded a $16 million NSF grant to create the National Institute for Mathematical and Biological Synthesis, or NIMBioS. Researchers from around the world will collaborate on finding creative solutions to pressing problems in fields like animal disease control and wildfire management.
The Argonne National Laboratory's IBM Blue Gene/P high-performance computing system is the world's fastest supercomputer for open science, with a peak-performance of 557 Teraflops. This achievement marks the first time an Argonne-based supercomputing system has ranked in the top five of the industry's definitive list.
Researchers at Argonne National Laboratory have developed a new method to predict the properties of light nuclei, allowing for better understanding of element origins and star behavior. This breakthrough enables more accurate calculations of nuclear reaction rates, which are crucial for astrophysics experiments.
A new laser beam made in a University of Michigan laboratory has set a record for intensity, measuring 20 billion trillion watts per square centimeter. The intense beam could help scientists develop better proton and electron beams for radiation treatment of cancer and explore new frontiers in science.
David Mumford is recognized for his contributions to algebraic surfaces, geometric invariant theory, and the modern algebraic theory of moduli of curves and theta functions. His work has fundamentally changed algebraic geometry, laying the foundations for string theory in physics.
The NIST team will use the granted time to model concrete flow under various conditions, improving prediction and measurement of flow properties. The access to the Argonne machine allows for advanced computer modeling impossible with existing facilities.
A new computerized tutoring system aims to help middle school students develop a deep understanding of scientific concepts by teaching them to 'think like scientists.' The system will guide students' learning, assess their progress, and provide feedback automatically to teachers.
Researchers use Finite Element Analysis to test the bite force and feeding mechanics of Smilodon, finding a relatively weak bite that limits its killing behaviors. Despite this, Smilodon was an efficient hunter of large game and could restrain prey before biting.
Dr. Jaydeep Bardhan, a former CSGF fellow, received the prestigious Howes Scholar Award in computational science for his work on biomolecular modeling. He was recognized among only one or two fellows each year for his novel techniques and approaches to analyzing protein interactions and determining optimal molecular targets.
The inaugural IBM Blue Gene/P system will enhance researchers' ability to conduct breakthrough science and engineering at the Argonne Leadership Computing Facility. The new system will provide a leading computing capability for advancing knowledge in fields such as climate change, biology, and energy sustainability.
Computer scientists Steven Rudich and Alexander A. Razborov have made a significant contribution to the P vs. NP problem, a classic question in theoretical computer science that underlies the security of digital systems. Their work has implications for cryptography and electronic commerce.
A team of researchers is building a prototype system to automate scientific workflows, addressing the growing issue of data analysis overload in various fields like climatology and high-energy physics. The Windward project integrates AI and grid computing to create an efficient workflow management system.
The 2007 prize recognizes Dr. Shu's development of TVD temporal discretizations, ENO and WENO finite difference schemes, discontinuous Galerkin methods, and spectral methods. Dr. Shu is a professor of Applied Mathematics at Brown University and has made significant contributions to scientific computing.