INFORMS Annual Meeting
Winter Simulation Conference
Nov. 18, 4 p.m.
Data Mining: Failure to Launch Webinar
Feb. 19-20, 2015
Data Analytics for Action & Impact:Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Special ArticlesReal estate analytics: three tips to improve corporate productivity
Major corporations across the globe are finding a surprising link to business productivity from the data generated in their real estate operations and portfolio. According to JLL experts, real estate data and analytics should be considered an essential element of how corporations make capital investment and occupancy decisions to improve their overall productivity.Read More
Industry NewsAnyLogic relocates to Chicago
AnyLogic North America, LLC, a simulation modeling software and services company, has moved its North American headquarters from Lisle, Ill., to Chicago. The new address is 20 N. Wacker Dr., Suite 2044, Chicago, IL 60606, inside the historic, newly renovated Civic Opera Building.Read More
Special ArticlesKaplan elected president of INFORMS
Yale School of Management Professor Edward H. Kaplan, whose pioneering work in public health and homeland security has received international recognition and numerous awards, was recently elected president of the Institute for Operations Research and the Management Sciences (INFORMS).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.”