A Global Mood Ring for Financial Markets

May 11, 2011

Research out of Indiana University is seeking to make sense of global social network data in near real-time to arrive at a sense of universal mood. Johan Bollen and his team have a way to mine the tweets of the world to mesh data into an overall sense of emotion--a concept that is finding an eager audience among financial services players. Read more…

By Nicole Hemsoth

Algorithms Engulf Wall Street

January 19, 2011

Automated trading software runs amok. Read more…

By Michael Feldman

Algorithmic Terrorism on Wall Street

August 5, 2010

Analysts uncover evidence of high frequency trading shenanigans. Read more…

By Michael Feldman

AI That Picks Stocks Better Than the Pros

June 14, 2010

A computer science professor uses textual analysis of articles to beat the market. Read more…

By Christopher Mims

Market Meltdown Still Does Not Compute

May 13, 2010

Investigators struggle to ascertain role of computerized trading in stock market plunge. Read more…

By Michael Feldman

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Full & Complete coverage of SC17

Keynote Reviews, Analysts Write Ups, Booth Vidoes, Student Competition, Awards and so much

Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.

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Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research

From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.

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Creating a Modular, Building-Block Architecture for Life Science Workflows

As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.

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