August 30, 2016 1:24 PM ET

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Company Overview of IBM Research, Inc

Company Overview

IBM Research, Inc offers technology research and consulting services. The company provides technology analysis, algorithm, and system integration services. Additionally, it offers project management and technical consulting services. IBM Research, Inc is based in Yorktown Heights, New York. IBM Research, Inc operates as a subsidiary of International Business Machines Corporation.

P.O. Box 218

Yorktown Heights, NY 10598

United States

Key Executives for IBM Research, Inc

Director
Age: 62
Vice President
Vice President of Industry Solutions and Emerging Business
Executive Director
Vice President of Services Research and Global Labs
Compensation as of Fiscal Year 2016.

IBM Research, Inc Key Developments

IBM and University of Maryland, Baltimore County Collaborate to Create the Accelerated Cognitive Cybersecurity Laboratory

IBM Research announced plans for a multi-year collaboration to create the Accelerated Cognitive Cybersecurity Laboratory (ACCL), which will be housed within the College of Engineering and Information Technology at UMBC. Opening in the fall of 2016, the lab will work to advance scientific frontiers in the application of cognitive computing to cybersecurity via analytics and machine learning, while also exploring specialized computer power optimized for these new intensive computing workloads. Cybersecurity threats are growing in both volume and sophistication. This issue is compounded by a growing shortage of security professionals, expected to reach 1.5 million unfilled positions by 2020. With the ACCL, IBM and UMBC will explore new ways to apply cognitive technologies which are able to digest, learn from, and reason over vast amounts of structured and unstructured data to help cybersecurity professionals gain an advantage in the battle against cybercrime. UMBC researchers will collaborate with IBM scientists to push the frontiers of research and develop innovative technology that will be able to, with a human analyst in the loop, detect, analyze and mitigate sophisticated threats quickly. This collaboration is part of IBM's ongoing academic initiatives that help students develop skills and understanding of cognitive computing to meet the increasing demand for high-skilled technology professionals. UMBC is one of eight leading universities in North America working to train IBM'sWatson for application in the cybersecurity space. Watson uses natural language processing to understand the vague and imprecise nature of human language in unstructured data. It can provide insights into emerging threats, as well as recommendations on how to stop them, increasing the speed and capabilities of security professionals.

Lawrence Livermore National Laboratory, LLC and IBM Collaborate to Build Brain-Inspired Supercomputer

Lawrence Livermore National Laboratory announced it has purchased a brain-inspired supercomputing platform for deep learning inference developed by IBM Research. Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a tablet computer – a mere 2.5 watts of power for the 16 TrueNorth chips. The brain-like, neural network design of the IBM Neuromorphic System is able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips. The new system will be used to explore new computing capabilities important to the National Nuclear Security Administration's (NNSA) missions in cyber security, stewardship of the nation's nuclear deterrent and non-proliferation. NNSA's Advanced Simulation and Computing (ASC) program will evaluate machine learning applications, deep learning algorithms and architectures and conduct general computing feasibility studies. ASC is a cornerstone of NNSA's Stockpile Stewardship Program to ensure the safety, security and reliability of the nation's nuclear deterrent without underground testing. A single TrueNorth processor consists of 5.4 billion transistors wired together to create an array of 1 million digital neurons that communicate with one another via 256 million electrical synapses. At 0.8 volts, it consumes 70 milliwatts of power running in real time and delivers 46 giga synaptic operations per second – orders of magnitude lower energy than a conventional computer running inference on the same neural network. TrueNorth was originally developed under the auspices of Defense Advanced Research Projects Agency's (DARPA) Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program in collaboration with Cornell University. Under terms of the contract, LLNL will receive a 16-chip TrueNorth system representing a total of 16 million neurons and 4 billion synapses. LLNL will also receive an end-to-end ecosystem that helps create and program energy-efficient machines that mimic the brain's abilities for perception, action and cognition. The ecosystem consists of a simulator; a programming language; an integrated programming environment; a library of algorithms as well as applications; firmware; tools for composing neural networks for deep learning; a teaching curriculum; and cloud enablement.

IBM Research and CMU Announce Open Platform to Create Smartphone Apps

IBM Research and Carnegie Mellon University, or CMU, have announced an open platform to support the creation of smartphone apps that can enable the blind to navigate his surroundings. The IBM and CMU researchers used the platform to create a pilot app, called NavCog, that draws on existing sensors and cognitive technologies to inform blind people on the CMU campus about their surroundings by "whispering" into their ears through earbuds or by creating vibrations on smartphones. The app analyzes signals from Bluetooth beacons located along walkways and from smartphone sensors to help enable users to move without human assistance, whether inside campus buildings or outdoors. Researchers are exploring additional capabilities for future versions of the app to detect who is approaching and what is their mood.

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