Articles tagged with Big Data
A new risk measure called a home score combines patients' symptoms and demographic information with local strep throat activity to estimate an individual's strep risk, empowering them to seek care appropriately. This innovative tool has the potential to eliminate 230,000 unnecessary doctor visits for strep throat in the US annually.
The winners of the 2013 Semantic Web Challenge have successfully combined innovative semantic web technology with an end user practical focus and efficiency in use. This year's challenge saw 17 proposals, with four Open Track Challenge winners and one Big Data Track winner selected by a panel of experts.
A new collaboration describes a new centipede species using a holistic approach combining 3D imaging, DNA barcoding, transcriptomic profiles, and video of the living specimen. The 'cyber-type' allows for global access to the specimen's data, enabling faster conservation efforts.
A new approach to describing new species uses big data techniques like next-gen sequencing and barcoding. This allows scientists to create detailed datasets and make it easier to manage biodiversity information.
A UT Arlington computer scientist is leading a project to mine electronic medical records data to personalize patient treatment, predict health care needs, and identify risks. The goal is to improve healthcare outcomes by providing doctors with better information.
LSU researchers have received a nearly $1 million grant to develop software and infrastructure enabling Big Data research on the university's campus. The project, titled CC-NIE Integration, will empower scientific breakthroughs by providing advanced information technologies and cyberinfrastructure.
A team of researchers has developed a program called RealBrush that allows graphic artists to quickly produce realistic brushstrokes on their computers. The program uses machine-learning approaches and Big Data storage techniques to create, bend, and shape various types of brushstrokes.
Rice University researchers are developing a customized, energy-efficient optical network called BOLD to handle the growing amounts of data in various scientific fields. The new network will utilize optical switches with high capacity and low power consumption, enabling faster processing and analysis of large datasets.
The Collaborative Assessment and Recommendation Engine (CARE) system uses electronic medical records to offer rapid advances in personalized health care, disease management, and wellness. CARE generates personalized disease risk profiles based on collaborative filtering method and Big Data science.
The study examined how Lumosity's dataset can provide insights into the lifestyle correlates of cognitive performance. The second study found that performance on tasks that rely on fluid intelligence decreases with age at a faster rate than those that rely on crystallized intelligence.
The MacArthur Foundation has awarded Carnegie Mellon University a $175,000 grant to investigate the role of social media and big data analytics in advancing human rights protection. The project aims to analyze the effectiveness of these technologies in gathering and analyzing data on human suffering and political repression.
A team of researchers at Saarland University developed the Hadoop Aggressive Indexing Library (HAIL), a technique that enables fast and efficient searching in large datasets. By generating indexes for multiple criteria, HAIL can query big datasets up to 100 times faster than traditional methods.
The inaugural issue of Big Data journal launched at the Strata Conference, featuring premium content from leading experts on big data. The Journal aims to facilitate dialogue among researchers, analysts, and policymakers on the challenges and opportunities in big data, published under the Creative Commons Attribution license.
Scientists have developed an automated system that can rapidly reconstruct hundreds of ancestral languages, including Proto-Indo-European and Proto-Afroasiatic. The computer program uses probabilistic reasoning and machine learning to replicate linguistic changes over time, with an accuracy rate of 85%.
Researchers at UW and PNNL will collaborate on advanced computer system designs, accelerating data-driven scientific discovery and improving computational modeling and simulation. The institute aims to solve pressing problems like climate change, energy management, and disease determination.
Researchers at Iowa State University are working on a project to help biologists cope with the challenges of big data in plant biology. The team has developed a microsystem instrument that can precisely control the environment for thousands of plants, allowing scientists to analyze the impact of different factors on plant growth.
The new Big Data journal will publish peer-reviewed content on novel technologies, policies, and innovations in the field. It aims to facilitate collaboration among researchers, analysts, and business leaders to address challenges and discover breakthroughs in big data.
The NSF invests nearly $15 million in new Big Data research projects to develop new tools and methods for extracting knowledge from large data sets. These grants aim to accelerate progress in science and engineering research and innovation.
Rutgers receives funding for two projects: one to speed information retrieval from large databases and another to improve scientific literature search accuracy. The projects aim to extract useful information from massive collections of data, with potential applications in fields like physics, psychology, and medicine.
Computer scientists at Brown University have been awarded $1.5 million to develop new algorithms and statistical methods for analyzing large genomic datasets. The project aims to identify genetic mutations that drive cancer by comparing gene sequences of healthy tissue to those of cancerous tissue.
Researchers at Iowa State, Virginia Tech, and Stanford University aim to develop techniques for analyzing large-scale data analytics from high-throughput DNA sequencing. The project will utilize the NSF-funded HokieSpeed supercomputing instrument to improve genome analysis and identify mutations relevant to cancer.
Penn State researchers are creating a new training program for doctoral students in Big Data Social Science, with the help of a $3 million NSF grant. The program aims to equip scientists with tools to address the challenges of massive and complex socially generated data.
The University of Texas at Arlington is developing a universal version of the PanDA workload management system, funded by a $1.7 million grant from the US Department of Energy. The new software aims to improve the analysis of large datasets in particle physics and other fields.
The new peer-reviewed journal Big Data will facilitate discussions on harnessing big data to solve global problems. It aims to bring together researchers, analysts, and policymakers to address the challenges and discover breakthroughs in big data technologies, policies, and innovations.