Innovation Matters at IBM Computer Science

Computer scientists at IBM work on a wide range of issues that shape the way we communicate with each other, collaborate on business and scientific projects, organize information, protect our privacy -- and live our lives online and off.

Every month, IBM computer scientists publish original articles in Innovation Matters, a series that explores the technical challenges of their research -- challenges that ultimately foster innovation in databases, servers and software code. Read about research developments in research areas such as Artificial Intelligence, Design Automation, Graphics & Visualization, Mobile Computing, Security & Privacy and Human-Computer Interaction, to name just a few.

For earlier articles on innovation, see Research Spotlights.

2008
June: Storage Systems
Ensuring access control in virtualized storage environments. Capability-based Command Security, an access control protocol, exceeds Postmark and Bonnie++ storage benchmarks. Author and featured researcher: Eran Rom.

May: Statistics
Statistics researchers predict traffic conditions. Intelligent Traffic System -- a statistical model for the near-term prediction of traffic conditions -- was developed at IBM and has been tested out with the Singapore Land Transport Authority. Author: Jonathan Hosking. Featured researcher: Wanli Min.

April: Design Automation
Logic optimization techniques improve cycle-time of integrated circuits. A design automation team at IBM Research is using logic optimization techniques to enhance the productivity of high-performance integrated circuits in IBM microprocessors. Author and featured researcher: Victor Kravets.

March: Artificial Intelligence
How we can predict patient response to anti-HIV treatment. With funding from the Sixth Framework European Union, the IBM Haifa Research Lab is working on EuResist, a research project that is developing an integrated European system for the clinical management of antiretroviral drug resistance. Author and featured researcher: Michal Rosen-Zvi.

January: Web
Semantic Web technologies enhance enterprise Master Data Management. IBM's Web technologies for semantic query and analytics for master data management will help businesses manage core processes, such as organizing customer and supplier lists, in a timely way. Author and featured researcher: Li Ma.

Last updated on June 6, 2008