Winter Simulation Conference
Feb. 19-20, 2015
Data Analytics for Action & Impact:Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Special ArticlesPresent a talk or poster at premier analytics conference
The 2015 INFORMS Conference on Business Analytics and O.R. seeks proposals for talks and posters. Selected presenters may register for the meeting at a discounted fee of up to 35 percent off regular rates. The prestigious conference will be held April 12-14, 2015, in Huntington Beach, Calif.Read More
Analytics Section of INFORMS NewsStudent Analytical Scholar Case Study Competition
INFORMS will once again offer the SAS/INFORMS Analytics Section Student Analytical Scholar Competition, a scholarship program that will send the winning recipient to the 2015 INFORMS Conference on Business Analytics and Operations Research. Supported by SAS and sponsored by the Analytics Section of INFORMS, the competitive program will recognize one outstanding student who would like to learn more about the practice of analytics at the conference in Huntington Beach, Calif., on April 12-14, 2015. The scholarship covers the cost of attending the event and additional networking opportunities.Read More
Analytics Section of INFORMS NewsAnalytics Section continues to grow, hosts lively reception
The Analytics Section of INFORMS has continued to develop in 2014, both increasing the membership base and expanding its scope of activities, all of which were reviewed at a lively reception and business meeting at the 2014 INFORMS Annual Conference in San Francisco earlier this month.Read More
IBM announces $3 billion research initiative to tackle chip challenges
IBM recently announced it is investing $3 billion over the next five years in two broad research and early stage development programs to push the limits of chip technology needed to meet the emerging demands of cloud computing and big data systems. These investments will push IBM’s semiconductor innovations from today’s breakthroughs into the advanced technology leadership required for the future.
The first research program is aimed at so-called “7 nanometer and beyond” silicon technology that will address serious physical challenges that are threatening current semiconductor scaling techniques and will impede the ability to manufacture such chips. The second is focused on developing alternative technologies for post-silicon era chips using entirely different approaches, which IBM scientists and other experts say are required because of the physical limitations of silicon-based semiconductors.
Cloud and big data applications are placing new challenges on systems, just as the underlying chip technology is facing numerous significant physical scaling limits. Bandwidth to memory, high-speed communication and device power consumption are becoming increasingly challenging and critical.
The teams will comprise IBM Research scientists and engineers from Albany and Yorktown, N.Y., Almaden, Calif., and Europe. In particular, IBM will be investing significantly in emerging areas of research that are already underway at IBM such as carbon nanoelectronics, silicon photonics, new memory technologies, and architectures that support quantum and cognitive computing.
These teams will focus on providing orders of magnitude improvement in system level performance and energy efficient computing. In addition, IBM will continue to invest in the nanosciences and quantum computing – two areas of fundamental science where IBM has remained a pioneer for over three decades.
IBM researchers and other semiconductor experts predict that while challenging, semiconductors show promise to scale from today’s 22 nanometers down to 14 and then 10 nanometers in the next several years. However, scaling to 7 nanometers and perhaps below by the end of the decade will require significant investment and innovation in semiconductor architectures, as well as invention of new tools and techniques for manufacturing.
“The question is not if we will introduce 7 nanometer technology into manufacturing, but rather how, when and at what cost?” says John Kelly, senior vice president, IBM Research. “IBM engineers and scientists, along with our partners, are well suited for this challenge and are already working on the materials science and device engineering required to meet the demands of the emerging system requirements for cloud, big data, and cognitive systems. This new investment will ensure that we produce the necessary innovations to meet these challenges.”