In case you haven’t caught them yet, here's a recap of this week's most popular stories. Looking at the universe as a hologram; diesel fuel from carbon dioxide and water; first observations of a rare subatomic process; a big data history of music charts; secrets of colossal, invisible waves; perceptions of dress colors; and more are among the top hits.
Everyone has heard the old adage that time is money. In today’s society, business moves at the...
SC15’s Visualization and Data Analytics Showcase Program will provide a forum for the year's...
Detailed new field studies, laboratory experiments and simulations of the largest known “...
Evolutionary biologists and computer scientists have come together study the evolution of pop music. Their analysis of 17,000 songs from the US Billboard Hot 100 charts, 1960 to 2010, is the most substantial scientific study of the history of popular music to date. They studied trends in style, the diversity of the charts, and the timing of musical revolutions.
IBM Watson is collaborating with more than a dozen leading cancer institutes to accelerate the ability of clinicians to identify and personalize treatment options for their patients. The institutes will apply Watson's advanced cognitive capabilities to reduce from weeks to minutes the ability to translate DNA insights, understand a person's genetic profile and gather relevant information from medical literature to personalize treatment.
A research team at the Georgia Tech Research Institute is studying a range of security challenges involving programmable logic devices — in particular, field programmable gate arrays. FPGAs combine hardware performance and software flexibility so well that they're increasingly used in aerospace, defense, consumer devices, HPC, vehicles, medical devices and other applications. But they come with potential vulnerabilities.
A research team has demonstrated a predictive modeling capability that can help accelerate the discovery of new materials to improve biofuel and petroleum production. The findings present a tool that could lead to more efficient processes in the biofuel and petrochemical industries, while reducing the time and cost of associated laboratory research and development efforts. The materials of interest are called zeolites.
SQream DB is a high-speed GPU-based columnar SQL database designed to uniquely address the speed, scalability and efficiency hurdles that face big data analytics. It is capable of processing and analyzing high volumes of data, while delivering a high cost/performance ratio.
NASA is bringing together experts spanning a variety of scientific fields for an unprecedented initiative dedicated to the search for life on planets outside our solar system. The Nexus for Exoplanet System Science, or “NExSS,” hopes to better understand the various components of an exoplanet, as well as how the planet stars and neighbor planets interact to support life.
As ubiquitous as the term “big data” has become, the path for drawing real, actionable insights hasn’t always been as clear. And the need is only becoming greater as organizations generate greater and greater amounts of structured and unstructured data. While data-intensive computing is not new to (HPC environments, newer analytic frameworks, including Hadoop, are emerging as viable compasses for navigating the complex amounts of data.
IBM is bringing its Security Intelligence technology, IBM QRadar, to the cloud, giving companies the ability to quickly prioritize real threats and free up critical resources to fight cyberattacks. The new services are available through a cloud-based software as a service (SaaS) model, with optional IBM Security Managed Services to provide deeper expertise and flexibility for security professionals.
Carnegie Science announces the launch of the Carnegie Airborne Observatory-3 (CAO-3), the most scientifically advanced aircraft-based mapping and data analytics system in civil aviation today. This third-generation aircraft has been completely overhauled from previous models, boasting a multitude of cutting-edge improvements to its onboard laboratory.
The GenomeStack Big Data Analytics platform has been developed specifically for bioinformatics researchers, data scientists and analysts conducting genome research. The database replaces the traditional file-based, manual process for storing and analyzing genome sequenced data.
For many computationally-intensive applications, such as simulation, seismic processing and rendering, overall speed is still the name of the game. However, new branch of HPC is gaining momentum. IDC calls it “High Performance Data Analysis” (HPDA for short). Essentially, it’s the union of big data and HPC. How will these architectures evolve? Let’s start by looking at the data.
The Salford Predictive Modeler (SPM) software suite includes CART, MARS, TreeNet and Random Forests, as well as powerful automation and modeling capabilities. The software is designed to be a highly accurate and ultra-fast analytics and data mining platform for creating predictive, descriptive and analytical models from databases of any size, complexity or organization.
A predictive model using machine learning algorithms is able to predict with 75 percent accuracy how many asthma-related emergency room visits a hospital could expect on a given day. Twitter users who post information about their personal health online might be considered by some to be "over-sharers," but new research suggests that health-related tweets may have the potential to be helpful for hospitals.
Ryft One is an open platform to analyze streaming, historical, unstructured, and multi-structured data in real-time. It is a commercial 1U platform capable of providing fast and actionable business insights by analyzing both historical and streaming data at an unprecedented 10 Gigabytes/second or faster.
A consortium of European space scientists has succeeded in establishing a common data hub that allows the comparison of data from numerous space missions. A task that until now was hampered by different data processing protocols of individual space missions. Furthermore, observational data can now easily be compared with theoretical numerical models — regardless of the protocols used.
It’s almost a rite of passage in physics and astronomy. Scientists spend years scrounging up money to build a fantastic new instrument. Then, when the long-awaited device finally approaches completion, the panic begins: How will they handle the torrent of data? The Square Kilometer Array will have an unprecedented ability to deliver data on the location and properties of stars, galaxies and giant clouds of hydrogen gas.
The Weather Company Migrates Data Services to IBM Cloud, Plans to Advance Internet of Things SolutionsMarch 31, 2015 1:43 pm | by IBM | News | Comments
IBM and The Weather Company have announced a global strategic alliance to integrate real-time weather insights into business to improve operational performance and decision-making. As part of the alliance, The Weather Company, including its global B2B division WSI, will shift its massive weather data services platform to the IBM Cloud and integrate its data with IBM analytics and cloud services.
When disaster strikes, it is critical that experts, decision makers and emergency personnel have access to real-time information in order to assess the situation and respond appropriately. It is equally critical that individuals and organizations have the capacity to analyze the wealth of data generated in the midst of the disaster and its immediate aftermath in order to produce accurate, customized warnings.
MOVIA Big Data Analytics Platform is designed to help organizations watch for important patterns in their data and generate instant alerts to users or other systems. The software enables improved prediction of trends through advanced data modeling that captures situational context, so decisions are not ‘made in a vacuum.’
Smart grids help avoid blackouts and deter cyber attacks. They also pose new challenges. As power generation — and the communication and information processing associated with it — shifts from centralized power stations to distributed, heterogeneous systems, massive amounts of sensor data from stations must be transmitted efficiently and effectively analyzed in real time.
Having a strategy in place for effective asset performance management (APM) is critical in today’s zero downtime world. To guarantee that you are fully utilizing your assets, you should consider implementing the three “M” strategy: Measure, Monitor and Manage. This allows you to best gauge the state and quality of your assets, make changes where needed before a problem arises and strategically plan for future production.
University of Pittsburgh, Carnegie Mellon University, UPMC Form Alliance to Transform Healthcare through Big DataMarch 17, 2015 2:19 pm | by UPMC | News | Comments
Today’s health care system generates massive amounts of data — electronic health records, diagnostic imaging, prescriptions, genomic profiles, insurance records, even data from wearable devices. Information has always been essential for guiding care, but computer tools now make it possible to use that data to provide deeper insights. Leveraging big data to revolutionize healthcare is the focus of the Pittsburgh Health Data Alliance.
For those on the front lines of treating cancer, speed and precision are key to patients’ survival. Pediatric cancer researchers have been making incredible strides in accelerating delivery of new diagnostic and treatment options. Supercomputer-powered genetic diagnosis is being used to harness the power of high throughput genomic and proteomic methods and is playing a key role in improving the outcome for children with genetic diseases.
New research will likely be crucial to measuring the impact of climate change on thunderstorms — one of the weather occurrences most problematic for human life on the planet. The varying frequency and intensity of thunderstorms have direct repercussions for the public, agriculture and industry.
In the largest collaborative study of the brain to date, researchers from the Keck School of Medicine of the University of Southern California (USC) led a global consortium of 190 institutions to identify eight common genetic mutations that appear to age the brain an average of three years. The discovery could lead to targeted therapies and interventions for Alzheimer’s disease, autism and other neurological conditions.
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