Big Data
David Patterson, PhD, professor of computer science at the University of California at Berkeley, talks to contributing editor Tanuja Koppal, PhD, about big data—what it is, where it applies, and what lab managers can expect to gain by investing in it. He also provides guidance on where people can get more
information about (and help with) big data and the possible concerns they need to be aware of.
| 5+ min read
An IT department alone can't plan, implement, and support today's laboratory systems
| 5+ min read
Two back-to-back major international conferences focused on data science and the information it can provide business, education, and healthcare leaders will bring global attention to Little Rock in early November.
| 3 min read
Researchers at Columbia Engineering, led by Chemical Engineering Professors Venkat Venkatasubramanian and Sanat Kumar, have developed a new approach to designing novel nanostructured materials through an inverse design framework using genetic algorithms.
| 3 min read
Sequencing the DNA of an organism, whether human, plant, or jellyfish, has become a straightforward task, but assembling the information gathered into something coherent remains a massive data challenge. Researchers using computational resources at the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, have created a faster and more effective way to assemble genomic information, while increasing performance.
| 3 min read
Recent articles in the Harvard Business Review and New York Times have suggested that the onslaught of "Big Data" has created a new discipline they call data science and a need for specialized data scientists. They even claim that no universities are currently addressing this need with academic programs.
| 2 min read
Imagine millions of jigsaw puzzle pieces scattered across a football field, with too few people and too little time available to assemble the picture. Scientists in the new but fast-growing field of computational genomics are facing a similar dilemma.
| 3 min read
Marine scientists learn programming in intensive course on handling 'big data.'
| 3 min read
LLNL's 20 petaflops Sequoia supercomputer has retained its No. 1 ranking on the Graph 500 list, a measure of a system's ability to conduct analytic calculations -- finding the proverbial needle in the haystack.
| 3 min read
Success depends upon technology to ensure that context and provenance is captured along with data
| 5+ min read
